DE102022001229A1 - A pointer-oriented object detection method for a tangible, material-like treatment of information from a computer system from an artificial intelligence of a cyborg or an android, wherein a recorded signal response of the computer system from the artificial intelligence of the cyborg or the android, a corresponding association of the computer system from of the artificial intelligence of the cyborg or the android, and a corresponding thought of the computer system of the artificial intelligence of the cyborg or the android are physically built in the computer system. - Google Patents

Abstract

A pointer-oriented object detection method for a tangible, material-like treatment of information from a computer system from an artificial intelligence of a cyborg or an android, wherein a recorded signal reaction of the computer system from the artificial intelligence of the cyborg or the android, a corresponding association of the computer system by the artificial intelligence of the cyborg or the android, and a corresponding thought of the computer system by the artificial intelligence of the cyborg or the aridroid are physically built in the computer system. The computer system is based on natural language. In the pointer-oriented object detection method, three pointers are created by the artificial intelligence of the cyborg or the android at one runtime in a random access memory (RAM) of the computer system. In this way, a subjective object (a first pointer), an associative object (a second pointer), and an abstract object (a third pointer) of the computer system are instantiated and initialized by the artificial intelligence of the cyborg or the android. Through these objects one can manipulate data elements of the class of a classification tree of the computer system of the artificial intelligence of the cyborg or the android. The subjective object is used to physically build the recorded signal reaction of the computer system. The associative object is used to physically build the corresponding association of the computer system. The corresponding idea of the computer system is physically built with the abstract object.

Description

A pointer-oriented object detection method for a tangible, material-like treatment of information from a computer system from an artificial intelligence of a cyborg or an android, wherein a recorded signal reaction of the computer system from the artificial intelligence of the cyborg or the android, a corresponding association of the computer system by the artificial intelligence of the cyborg or the android, and a corresponding thought of the computer system by the artificial intelligence of the cyborg or the android are physically built in the computer system.

The present invention relates to a pointer-oriented object detection method for a tangible, material-like treatment of information from a computer system by an artificial intelligence of a cyborg or an android, wherein a recorded signal reaction of the computer system by the artificial intelligence of the cyborg or the android , a corresponding association of the computer system by the artificial intelligence of the cyborg or the android, and a corresponding thought of the computer system by the artificial intelligence of the cyborg or the android are physically built in the computer system. The computer system is based on natural language.

From the European patent specification ( KR 2003000254 , DE 10361726 ) is a robot toy with artificial intelligence and control methods known for it. Several robot-specific patent claims are patented in this patent. The artificial intelligence of this robot toy is intended for its mechanical control. It is an object recognition method for mobile robot navigation from the American patent specification ( US 5963663 A ) known. In this invention, the orientation signs (identification marks) (“a land mark (a sign)”) are referred to as objects. In the invention, a pattern in a signal is distinguished from another pattern with the help of an element of character recognition, which works according to the principle of pattern recognition. For pattern recognition, the incoming signal is broken down into “red” values, “green” values and “blue” values. This invention makes it possible for a robot to perform various specialized tasks. This invention is not intended to be an artificial intelligence system from a cyborg or an android.

1. 1. um ein Verfahren von Verwendung von den Multiview Training Videos um automatisch viewunabhängige Repräsentationen von Bewegungen in der Architektur von einer wahrscheinlichen kontext-freien Grammatik zu kreieren;
2. 2. um das, dass jede Körperpose als eine Sammlung von Silhouetten, die von verschiedenen „Viewspoints“ beobachtet wurden, repräsentiert wurde;
3. 3. um das, dass man die Körperbewegungen über visuelle Verben von dem niedrigen Level, die die direkten visuellen Gegenstücke haben, bezeichnet wurde;
4. 4. um das, dass in der Architektur jedes visuelle Verb (eine Bewegung) bei einer kurzen Sequenz von Paaren von den Schlüsselposen beschrieben wurde;
5. 5. um das auch, „dass es klar ist, dass eine partikulare Schlüsselpose (wie z.B. das Aufrechtstehen) für mehrere Bewegungen gemeinsam sein kann“;
6. 6. um das, dass die Bewegungen mit den Namen (wie das Knien) nur für Präsentationszwecke benannt wurden.

For the current state of the art, view-invariant modeling and recognition of human actions using grammars is described in the article (Ogale, AS et al.: Viewinvariant modeling and recognition of human actions using grammars. International Conference on Computer Vision (ICCV), Workshop on Dynamical Vision, October 2005). This article is about:

1. 1. to provide a method of using the multiview training videos to automatically create view-independent representations of movements in the architecture from a probable context-free grammar;
2. 2. that each body pose was represented as a collection of silhouettes observed from different viewpoints;
3. 3. that the body movements were denoted by low-level visual verbs that have direct visual counterparts;
4. 4. that in architecture each visual verb (a movement) was described in a short sequence of pairs of key poses;
5. 5. also “that it is clear that a particular key pose (such as standing upright) can be common to several movements”;
6. 6. that the movements with the names (like kneeling) are only named for presentation purposes.

1. 1. die NLAs, die fortgeschrittenen Analysatoren von der natürlichen Sprache;
2. 2. die Expertensysteme, bzw. um das, dass jemand (z.B. ein Experte) einige relevanten Fakten über eine einzelne Domäne kennt und diese Fakten mit Benutzung einer natürlichen Sprache zu beschreiben versucht; dass jemand anderes noch (z.B. ein System) diese Ausdrücke (oder die beschriebenen Symbole) versteht und auch, als Konsequenz, die beschriebenen Fakten;
3. 3. das, dass vier Teilnehmer mindestens in den Prozess involviert sind: Kenner 1, der das Fachwissen, das in eine Mentale Sprache kodiert ist, hat; die Quelle-Sprache, die das Fachwissen zu einigen Empfängern übermittelt; Kenner 2, der der Empfänger von dem Quelle-Sprache-Ausdruck ist (und möglich, sozusagen, ein Softwareprodukt ist); und letztendlich eine Domäne, auf welcher die oben genannten Repräsentationen sich auf die eine oder die andere Art beziehen;
4. 4. das, dass typische Beispiele von den offenen Welten (den offenen Domänen) in den medizinischen Diagnosen, in den Stellenbewerberbewertungen usw. erscheinen würden; dass typische Beispiele von den geschlossenen Welten (den geschlossenen Domänen) Spiele wie Schach sind;
5. 5. das, dass die Wortbedeutung von der „Wortbedeutung“ in statischen und dynamischen Sprachen komplett unterschiedlich ist; dass eine statische Sprache nur einen Aspekt von der realen Welt abdecken kann; dass die Zielrepräsentation eine formale (statische) maschinebearbeitbare Sprache sein muss; dass in dynamischen Sprachen die Wortbedeutung von einem Ausdruck bei ihren Erscheinungen in allen Kontexten erweitert charakterisiert wurde, dass jede neue Verwendung von dem Ausdruck eine Erscheinung hinzufügt und damit die Wortbedeutung geändert wird; dass das Gespräch über die medizinische Diagnose, die Stellenbewerberbewertung usw. in einer natürlichen Sprache als die prototypische Form von einer dynamischen Sprache eine empfohlene Kombination ist;
6. 6. das, dass das Experte-Fachwissen in eine natürliche Sprache transferiert werden muss, und linguistische Ausdrucke, die von dem Prozess resultieren, wieder in das Fachwissen transferiert werden müssen, das heißt, in die Ausdrucke von einer ausgewählten Repräsentationssprache von dem Empfänger (oder dem entsprechendem System);
7. 7. die Regeln, z.B. „Wenn das oder das in dem Fall ist, dann dies oder dies in dem Fall ist“, (bzw. die Regelbasierten Systeme);
8. 8. das, wenn aber ein System früheres Fachwissen verlangt um eine Regel, die in einer natürlichen Sprache formuliert ist, zu verstehen, nicht das ganze Fachwissen via eine natürliche Sprache übermitteln werden kann;
9. 9. das, dass es (z.B.) sehr schwierig ist, das allgemein-bedeutende (naive) Fachwissen mittels einer Natürlichen Sprache weiterzuleiten („Darüber hinaus erwerben es die Menschen auch nicht auf diese Art und Weise“); dass das allgemein-bedeutende Fachwissen in einem NLA+ entweder „programmiert“ oder mit Verwendung von anderen Medien als eine Natürliche Sprache erfasst werden muss;
10. 10. das, dass die generischen Sätze missverstanden sein können; dass so ein Satz „Der Eichelhäher hat einen speziellen Schnabel“ gleiche Oberflächenstruktur wie „Der Eichelhäher hat einen gebrochenen Flügel“ hat; dass der erste Satz ein generischer Satz ... (... über Eichelhäher (im Allgemeinen)) ist, während der zweite Satz ein Ereignis (über einen konkreten Eichelhäher) beschreibt; dass eine Lösung von solchen Problemen noch nicht in Sicht ist.

For the current state of the art, see the article “ Use of natural language for knowledge acquisition: Strategies to cope with semantic and pragmatic variation", Thomas Wetter, Ralf Nuse, IBM J. Res. Develop., Vol. 36, No. 3, May 1992, pp. 435-468 relevant. This article is about:

1. 1. NLAs, advanced natural language analyzers;
2. 2. expert systems, or the fact that someone (e.g. an expert) knows some relevant facts about a single domain and tries to describe these facts using natural language; that someone else (e.g. a system) understands these expressions (or the symbols described) and also, as a consequence, the facts described;
3. 3. that at least four participants are involved in the process: Expert 1, who has the expertise encoded in a mental language; the source language that conveys the expertise to some recipients; Knower 2, which is the recipient of the source language expression (and is possibly, so to speak, a software product); and ultimately a domain on which the above-mentioned representation nen refer to one kind or the other;
4. 4. that typical examples of the open worlds (the open domains) would appear in medical diagnoses, in job candidate evaluations, etc.; that typical examples of the closed worlds (the closed domains) are games like chess;
5. 5. that the word meaning is completely different from the “word meaning” in static and dynamic languages; that a static language can only cover one aspect of the real world; that the target representation must be a formal (static) machine-editable language; that in dynamic languages the word meaning of an expression has been characterized as expanded in its appearances in all contexts, that each new use of the expression adds an appearance and thus the word meaning is changed; that discussing medical diagnosis, job candidate evaluation, etc. in a natural language as the prototypical form of a dynamic language is a recommended combination;
6. 6. that the expert expertise must be transferred into a natural language, and linguistic expressions resulting from the process must be transferred back into the expertise, that is, into the expressions of a selected representation language by the recipient (or the corresponding system);
7. 7. the rules, e.g. “If this or that is in this case, then this or this is in that case”, (or the rule-based systems);
8. 8. However, if a system requires prior expertise to understand a rule formulated in a natural language, not all of the expertise can be conveyed via a natural language;
9. 9. that it is (for example) very difficult to pass on the generally significant (naive) specialist knowledge using a natural language (“Moreover, people do not acquire it in this way”); that the general-meaningful specialist knowledge in an NLA+ must either be “programmed” or captured using media other than natural language;
10. 10. that the generic sentences can be misunderstood; that such a sentence “The jay has a special beak” has the same surface structure as “The jay has a broken wing”; that the first sentence is a generic sentence ... (... about jays (in general)), while the second sentence describes an event (about a specific jay); that a solution to such problems is not yet in sight.

It is a training simulator and procedure, or rather an interactive resuscitation of newborns with the appearance and responses of a child android from the American patent ( US 5509810 ) known. The simulator and procedure provide a trainee with a life-like simulation of a neonatal resuscitation process. In particular, a life-like simulation would be offered of what a doctor should know during the resuscitation of a newborn in the resuscitation team in a resuscitation ward in the patient reception of a hospital. The setting of the simulated state on the android imitates a predetermined human reaction to the resuscitation activity carried out by the trainee on the child android. In the further embodiments, the android is provided with the lifelike human appearance and reactions. Further, a resuscitation workstation with the appearance of a conventional resuscitation workstation is employed to provide a real-life simulation for the trainee. The main subject of the invention is not an artificial intelligence computer system from a cyborg or an android. This patent, the use of a baby android like a child android in the first month after birth, has nothing to do with the pointer-oriented object detection method for the tangible, material-like treatment of information from the computer system of the artificial intelligence of the cyborg or the android do.

It is an interface coupling of silicon nanowires with mammalian cells from the article ( Woong Kim, Jennifer K. Ng, Miki E. Kunitake, Bruce R. Conklin, and Peidong Yang: “Interfacing Silicon Nanowires with Mammalian Cells”; ACS PUBLICATIONS; Journal of the American Chemical Society (JACS); Published on Web: May 22, 2007; Copyright © 2007 American Chemical Society; Pages 7228-7229 ) known. The article is about US researchers at the University of California at Berkeley growing collections of mammalian cells on the nanowires. The goal of the research is to electronically connect external sensors to the mammalian cell. The researchers grow the mammalian cells on a silicon substrate covered by a layer of silicon nanowires. The wires become a natural part of the cells because the nanowires are very thin.

The “Berlin Brain-Computer Interface” (BBCI) project is known as part of the project funded by the Federal Ministry of Education and Research (BMBF). (The BCI product sheet, “BBCI - Berlin Brain-Computer Interface”, “Interface between Brain and Computer”, Fraunhofer Institute for Computer Architecture and Software Technology FIRST, Department of Neurology, Campus Benjamin Franklin of the Charite - University Medicine Berlin, the project leaders: Prof. Dr. Klaus-Robert Müller, Prof. Dr. Gabriel Curio.)

1. 1. „Bereits seit einigen Jahren arbeiten Forschungsgruppen in Europa und den USA an Systemen, die einen direkten Dialog zwischen Mensch und Maschine ermöglichen sollen. Hierzu wird eine Schnittstelle zwischen Gehirn und Rechner entwickelt, das Brain-Computer Interface (BCI).“
2. 2. „Man nutzt dazu die elektrische Hirnaktivität in Form des Elektroenzephalogramms (EEG). An der Kopfhaut angebrachte Elektroden messen die hirnelektrischen Signale. Diese werden verstärkt und an den Computer übermittelt, der die Gehirnsignale in technische Steuersignale umwandelt. Das Funktionsprinzip des BCI basiert darauf, dass die Hirnaktivität bereits die rein gedankliche Vorstellung eines Verhaltens widerspiegelt, zum Beispiel die Vorstellung, eine Hand oder einen Fuß zu bewegen. Das BCI erkennt die damit korrelierenden Veränderungen des Hirnstrombildes und nutzt sie etwa zur Auswahl zwischen zwei Alternativen: während eine Option durch die Vorstellung, die linke Hand zu bewegen, ausgewählt wird, führt die Vorstellung einer Bewegung der rechten Hand zur Auswahl der alternativen Option. Auf diese Weise können Geräte gesteuert werden, die an einen Computer angeschlossen sind ...“
3. 3. „Im Rahmen des vom Bundesministerium für Bildung und Forschung (BMBF) geförderten Projektes werden EEG-gesteuerte Systeme für den rechnergestützten Arbeitsplatz entworfen, um beispielsweise einen Cursor auf der Basis von Gehirnwellen zu steuern. Darüber hinaus werden medizinische Werkzeuge für Patienten entwickelt, die von Muskelschwund betroffen oder querschnittsgelähmt sind.“

The project is about:

1. 1. “For several years now, research groups in Europe and the USA have been working on systems that are intended to enable a direct dialogue between humans and machines. For this purpose, an interface between the brain and the computer is being developed, the Brain-Computer Interface (BCI).”
2. 2. “You use the electrical brain activity in the form of the electroencephalogram (EEG). Electrodes attached to the scalp measure brain electrical signals. These are amplified and transmitted to the computer, which converts the brain signals into technical control signals. The operating principle of the BCI is based on the fact that brain activity already reflects the purely mental idea of a behavior, for example the idea of moving a hand or a foot. The BCI recognizes the corresponding changes in the brain wave image and uses them, for example, to choose between two alternatives: while one option is selected by imagining moving the left hand, imagining moving the right hand leads to the selection of the alternative option. This makes it possible to control devices connected to a computer..."
3. 3. “As part of the project funded by the Federal Ministry of Education and Research (BMBF), EEG-controlled systems are being designed for the computer-aided workplace, for example to control a cursor based on brain waves. In addition, medical tools are being developed for patients affected by muscle wasting or paraplegic.”

There is a known brain chip implementation project from the American company Cyberkinetics. The chip is called “BrainGate” (TM) “Neural Interface System” and is an interface between the brain and the computer. The chip is implanted by neurosurgeons in the brain above the so-called “motor cortex”. The implant receives nerve signals and forwards them to a processor. The processor knows the nerve signals of healthy people. This causes the processor to convert the signals into electrical impulses. The electrical impulses can be used to control a robotic prosthesis, e.g. a robot arm, or even a computer. This means that the robot prosthesis movements are controlled directly by the human brain. The company plans to heal people who are disabled or sick due to accidents, muscle loss, stroke or nerve diseases. After the operation, the human is connected to a computer via an interface, a wire implanted directly in the human head. These three interfaces: the interface coupling of silicon nanowires with mammalian cells from the University of California at Berkeley, the Berlin Brain-Computer Interface (BBCI) project, and a brain chip implementation project from the American company Cyberkinetics are some examples of an interface of one Computer system from an artificial intelligence to a human body or to a cyborg body. This means that a computer system from an artificial intelligence equipped with one of these interfaces becomes a computer system from an artificial intelligence from a cyborg.

From my patent of the State of Israel (Patent IL174910 ), my patent application of the United States of America, the file number US 13/507,798 , the German patent application, the file number DE 10 2014 016 968.5 , is a computer system from an artificial intelligence of a cyborg or an android, where a recorded signal reaction of the computer system from the artificial intelligence of the cyborg or the android, a corresponding association of the computer system from the artificial intelligence of the cyborg or the android, and a corresponding idea of the computer system is physically built in the computer system by the artificial intelligence of the cyborg or the android, and a working method of the computer system is known by the artificial intelligence of the cyborg or the android. This patent application is about a computer system of an artificial intelligence of a cyborg or an android based on a natural language, consisting of the hardware assemblies, the sensor groups, the interfaces, the sensory input receiver, the sensory output transmitter, the database, the cyborg interpreter. This natural language that the computer system uses in its working process is interpreted by this computer system in an object-oriented manner. A subjective object, a corresponding associative object and a corresponding abstract object are implemented by the computer system. The objects, or the classes of the objects, are not elements of a programming language. The Computer system functionality is implemented on these objects generated by a natural language, which are time-stamped and unique. These natural language-generated objects can present more responses each from more sensor groups than five responses from five sense organs. This patent application also describes various sequences of the working process according to which the computer system works in a natural language. The computer system uses the references to work in another language.

From my patent of the United States of America (Patent US 8,271,411 ), my patent of the State of Israel (Patent IL175533 ), the German patent application, the file number DE 10 2014 000 086.9 , is a working method for treating abstract objects (thought substances) from a computer system of an artificial intelligence of a cyborg or an android. These patents, or rather this patent application, are about the working method for the treatment of the abstract objects (the thought substances) of the computer system of the artificial intelligence of the cyborg or the android, whereby the working method is based on a natural language and whereby internal guidelines of an abstract subjectivity of the computer system are used in the working procedure. The working process is driven by the computer system by the artificial intelligence of the cyborg or the android itself. In the working method, the computer system of the artificial intelligence of the cyborg or the android treats the abstract objects, or classes of the abstract objects, in a non-continuous treatment mode, that is, discretely for each abstract object, or the class of the abstract Object, edited. A decision as to whether an abstract object is to be treated and how the abstract object is to be treated within the framework of a treatment scenario is made by the artificial intelligence of the cyborg or the android according to a classification tree of the computer system. A type of treatment is determined from a functional polymorphism of the computer system by the artificial intelligence of the cyborg or the android, or it can be provided directly. The abstract objects and the classes of the abstract objects are subjectively classified in the one natural language by the computer system by the artificial intelligence of the cyborg or the android itself. More than ten internal guidelines can be used in the working procedure.

Humanoid robots are also known that can move in a human or animal manner.

E.g. ASIMO is a robot developed by the Honda company that can move in a human way.

The AIBO from Sony, a robot dog that can be programmed. He can also walk, see, show his emotions and speak predefined words.

The QRIO from Sony. He is a humanoid robot that can move in a human way. It can do everything the AIBO can do. He can also speak or have a dialogue. Speech recognition is used and predefined response scenarios with many thousands of words are prepared. In addition, the QRIO is very expensive.

Furthermore, predicate logic, which plays a major role in computer science, in the programming of expert systems and artificial intelligence, is known worldwide. This is based on the logical predicate, which is more about a property than an action. The predicate is not considered object-oriented. Neither subject term nor predicate term are considered relative to time.

• 1. Android:
  • 1.1. „Android der, -en/-en, Androide der, -n/-n ein zu bestimmten Tätigkeiten fähiger → Automat in Menschengestalt“ (die Brockhaus-Enzyklopädie: in 24 Bd. - 19., völlig neubearb. Auflage, F.A. Brockhaus GmbH, Mannheim 1986, ISBN 3-7653-1101-4/3-7653-1201-0; Seite 562 ).
  • 1.2. „Android (gr. andro- von αvδρoς = Mann - griechisch: menschenförmig) ist die Bezeichnung für einen Roboter, der einem Menschen ... ähnlich sieht und sich menschenähnlich verhält.“ - Wikipedia, the free encyclopedia.htm (http://en.wikipedia.org/wiki/Android).
  • 1.2.1. „Unter einem Android werden bezeichnet:“
  • 1.2.1.1. „ein Roboter (ein mechanisches Wesen), der einem Menschen ähnlich sieht und sich menschenähnlich verhält;“
  • 1.2.1.2. „ein Cyborg (teilweise ein mechanisches Wesen oder teilweise ein organisches Wesen), der einem Menschen ähnlich sieht und sich menschenähnlich verhält;“
  • 1.2.1.3. „ein künstliches Wesen, jedoch vornehmlich organisch, der einem Menschen ähnlich sieht und sich menschenähnlich verhält.“
• 2. Cyborg:
  • 2.1. „Cyborg ['saibo:g; Kw. aus engl. cybernetic organism >kybernetisches Lebewesen<] der, -s/-s, in der Futurologie Bez. für einen Menschen, in dessen Körper techn. Geräte als Ersatz zur Unterstützung nicht ausreichend leistungsfähiger Organe (z.B. für lange Raumflüge) integriert sind“ (die Brockhaus-Enzyklopädie: in 24 Bd. - 19., völlig neubearb. Auflage, F.A. Brockhaus GmbH, Mannheim 1988, ISBN 3-7653-1105-7/3-7653-1205-3; Seite 67).
  • 2.2. „Der Begriff Cyborg bezeichnet einen“ „portmanteau of cybernetic organism“, „der aus biologischen und künstlichen Teilen besteht. Der Cyborg ist ein Mischwesen zwischen lebendigem Organismus und Maschine.“ - Wikipedia, the free encyclopedia.htm (http://en.wikipedia.org/wiki/Cyborg):
  • 2.2.1. „Generell, das Ziel ist erzeugen, wiederaufbauen, verbessern, hinzufügen die Fähigkeit von dem menschlichen Organismus bei Verwendung der Technology.“
  • 2.2.2. „Isaak Asimov untersuchte in seiner Kurzstory“ „The Bicentennial Man“ „die Konzepte von Kybernetik. Seine Untersuchungen führten zum Durchbruch in der menschlichen Medizin mittels der künstlichen Organe und Prothesen.“ (Ein „künstliches ... Gehirn“ war in der Story auch dargestellt).
  • 2.2.3. „Der Begriff Cyborg wird benutzt um einen Mann oder eine Frau mit bionischen oder mechanischen Implantaten zu bezeichnen.“
• 3. Starke Künstliche Intelligenz:
  • 3.1. „Im Verständnis des Begriffs Künstliche Intelligenz spiegelt sich oft die aus der Aufklärung stammende Vorstellung vom Menschen als Maschine wieder, dessen Nachahmung sich die sogenannte starke Künstliche Intelligenz zum Ziel setzt: eine Intelligenz zu erschaffen, die wie der Mensch nachdenken und Probleme lösen kann...“;
  • 3.2. „...gemäß starker Kl, der Computer ist nicht lediglich ein Tool um den Verstand zu studieren, sondern ein entsprechend programmierter Computer ist wirklich ein Verstand..." „(J. Searle in Minds, Brains and Programs. The Behavioral and Brain Sciences, vol. 3, 1980)“ - Wikipedia, the free encyclopedia.htm (http://en.wikipedia.org/wiki/strong_Al).
• 4. „Der Verstand ist der übliche Begriff, der meistens verwendet wird, um die höheren Funktionalitäten des menschlichen Gehirnes zu beschreiben.“ - Wikipedia, the free encyclopedia. htm (http://en.wikipedia.org/wiki/Mind).
• 5. „In der Psychologie... sind zwei ... Reize (in den Reiz-Reaktion Reflexen) assoziiert, wenn der Erfahrungswert von einem zu den Effekten von dem anderem führt... Das wird manchmal als Pawlows Assoziation („Pavlovian association“) genannt." - Wikipedia, the free encyclopedia.htm (http://en.wikipedia.org/wiki/Association_%28psychology%29).
• 6. Gedanke:
  • 6.1. „Gedanke, in der Regel durch Sprache vermitteltes Ergebnis eines Aktes oder einer (mehr oder minder komplexen) Folge von Akten des Denkens und als solches wieder Gegenstand neuer G.ngänge.“ ( Meyers Enzyklopädisches Lexikon in 25 Bd., Band 9: Fj-Gel, Mit Sonderbeiträgen von Hermann J. Abs, Ossip K. Flechtheim, Katharina Focke, Manfred Riedel, Bibliographisches Institut AG, Mannheim 1973, Lexikonverlag; Seite 787 ).
  • 6.2. „Geldanlke [gә'daηkә], der; -ns, -n: etwas, was gedacht wird; ...“ ( Duden, Das Bedeutungswörterbuch, 4., neu bearbeitete und erweiterte Auflage, Duden Band 10, Bibliographisches Institut GmbH, Dudenverlag, Mannheim · Zürich, Duden 2010, ISBN 978-3-411-04104-6; Seite 412 ).
  • 6.3. „Ein Gedanke ist ein unmittelbares Sinngebilde des Denkens.... bezeichnet der Gedanke ein Ergebnis, Produkt des Denkprozesses...“ - Wikipedia, the free encyclopedia.htm (http://de.wikipedia.org/wiki/Gedanke).
  • 6.4. „Der Gedanke ist ein Synonym für eine Idee.“ - Wikipedia, the free encyclopedia.htm (http://en.wikipedia.org/wiki/Thought_(disambiguation)).
• 7. Abstraktes Denken:
  • 7.1. „abstraktes Denken, Denkprozess, durch den sich losgelöst (abstrahiert) von komplexen Sachverhalten bestimmte Aspekte verallgemeinern lassen“ ( Das Lexikon „Lexikon der Psychologie“: in 5 Bd., Editor: Gerd Wenninger - Heidelberg; Berlin: Spektrum, Akademischer Verlag GmbH, Heidelberg 2000, Bd. 1. Ato E, ISBN 3-8274-0312-X; Seite 9 ).
  • 7.2. „Abstraktion die, -/-en, Denkvorgang bei der Bildung von Begriffen und Gesetzen, gekennzeichnet durch das stufenweise Heraussondern bestimmter Merkmale in der Absicht, das Gleichgebliebene und Wesentliche versch. Gegenstände zu erkennen; auch das Ergebnis des A.-Prozesses. Bei der generalisierenden A. werden die relevanten gemeinsamen Merkmale versch. Gegenstände oder Klassen herausgehoben, wobei von den unwesentlichen, sich unterscheidenden abgesehen wird“ (die Brockhaus-Enzyklopädie in 24 Bd. - 20., völlig neubearb. Auflage, F.A. Brockhaus GmbH, Mannheim 1996, Bd. 1. A-AP, ISBN 3-7653-3100-7/3-7653-3101-5; Seite 84 ).
  • 7.3. „Abstraktion, auf zufällige Einzelheiten verzichtende, begrifflich zusammengefaßte Darstellung; Vorgang und Ergebnis des Auswählens eines ganz bestimmten Aspekts eines komplexen Sachverhaltes, um diesen zu klassifizieren, zu bewerten und zu verallgemeinern“ ( Das Lexikon „Lexikon der Psychologie“: in 5 Bd., Editor: Gerd Wenninger - Heidelberg; Berlin: Spektrum, Akademischer Verlag GmbH, Heidelberg 2000, Bd. 1. Ato E, ISBN 3-8274-0312-X; Seite 9 ).
  • 7.4. „Abstraction is the process or result of generalization by reducing the information content of a concept or an observable phenomenon, typically in order to retain only information which is relevant for a particular purpose. For example, abstracting a leather soccer ball to a ball retains only the information on general ball attributes and behaviour.“--Wikipedia, the free encyclopedia.htm (http://en.wikipedia.org/wiki/Abstract_thinking).
• 8. Abstraktionsvermögen:
  • 8.1. „Abstraktionsvermögen → ...: das; -s; - (geistige) Fähigkeit, aus dem Besonderen etw. Allgemeines abzuleiten“ ( Das Wörterbuch „Deutsches Wörter-Buch“; Karl-Dieter Bünting, Isis Verlag AG, 1996, Chur/Schweiz, Seite 38 ).
• 9. „Telepathie (von griechisch τέλη, tele, „fern“ und πάθεiα, patheia, „Empfindung“ oder „Empfänglichkeit“) bezeichnet die Fähigkeit, Information von einem Menschen zu einem anderen Menschen ... zu übertragen". „Der deutsche Begriff für Telepathie ist Gedankenübertragung“ - Wikipedia, the free encyclopedia (http://de.wikipedia.org/wiki/Telepathie).
• 10. „Das meistens populäre und entwickelte Modell von OOP ist ein Klassen-basiertes Modell... In diesem Modell sind Objekte die“ „Entities“, „die der Zustand (d.h. die Daten), das Verhalten (d.h. die Prozeduren oder die Methoden) und die Identität (d.h. die eindeutige Existenz zwischen allen anderen Objekten) zusammenfassen. Die Struktur und das Verhältnis von einem Objekt sind bei einer Klasse definiert, die eine Definition oder ein Instanziierung- und Initialisierungsplan von allen Objekten von einem spezifischen Typ ist...“ - Wikipedia, the free encyclopedia.htm (http://en.wikipedia.org/wiki/Class-based_OOP).
• 11. Zeiger:
  • 11.1. „Ein Zeiger oder Pointer bezeichnet in der Informatik eine spezielle Klasse von Variablen, die auf einen anderen Speicherbereich oder diese Variablen selbst verweisen... Der referenzierte Speicherbereich enthält entweder Daten (Objekt, Variable) oder Programmcode.“ - Wikipedia, the free encyclopedia.htm (http://de.wikipedia.org/wiki/Zeiger).
  • 11.2. „In C und C++ sind Zeiger Variablen, die Adressen (von einem Speicherbereich) speichern und NULL (der NULL-Zeiger speichert die Adresse von einem NULL-Objekt, bzw. wird auf nichts verwiesen) sein können. Ein Zeiger ist eine einfache Implementierung von der generellen Referenz ...(obwohl das vollkommen unterschiedlich von der Begriffsbezeichnung ist, die als eine Referenz in C++ bezeichnet wurde).“ - Wikipedia, the free encyclopedia.htm (http://en.wikipedia.org/wiki/Pointer).
  • 11.3. „Ein Zeiger ist eine Variable, die eine Speicheradresse enthält.“ Die folgenden drei Dinge muß man sicher auseinanderhalten können, um Probleme mit Zeigern zu vermeiden:
    • - den Zeiger selbst,
    • — die im Zeiger gespeicherte Adresse,
    • -- den Wert an der im Zeiger gespeicherten Adresse." (das Buch „C++ in 21 Tagen“, Jesse Liberty, 2000 by Markt&Technik Verlag, ISBN 3-8272-5624-0, die Autorisierte Übersetzung der amerikanischen Originalausgabe: „Teach Yourself C++ in 21 Days“ © 1999 by SAMS Publishing; Seiten 252, 257 ).
• 12. Referenz:
  • 12.1. „Eine Referenz repräsentiert einen Verweis auf ein Objekt....stellt eine Referenz damit einen Alias-Namen für eine Entität dar...“ - Wikipedia, the free encyclopedia.htm (http://de.wikipedia.org/wiki/Referenz_%28Programmierung%29).
  • 12.2. „Eine Referenz ist ein Alias-Name. Wenn man eine Referenz erzeugt, initialisiert man sie mit dem Namen eines anderen Objektes, dem Ziel. Von diesem Moment an ist die Referenz wie ein alternativer Name für das Ziel, und alles, was man mit der Referenz anstellt, bezieht sich tatsächlich auf das Ziel“ (das Buch „C++ in 21 Tagen“, Jesse Liberty, 2000 by Markt&Technik Verlag, ISBN 3-8272-5624-0, die Autorisierte Übersetzung der amerikanischen Originalausgabe: „Teach Yourself C++ in 21 Days“ © 1999 by SAMS Publishing; Seite 290 ).
• 13. Objekt:
  • 13.1. „Mit dem Schlüsselwort new erzeugt man neue Objekte auf dem Heap“ (der Freispeicher, der dynamische Speicher). „Die von new zurückgegebene Adresse“ (von dem Speicherbereich) „legt man in einem Zeiger ab“ (das Buch „C++ in 21 Tagen“, Jesse Liberty, 2000 by Markt&Technik Verlag, ISBN 3-8272-5624-0, die Autorisierte Übersetzung der amerikanischen Originalausgabe: „Teach Yourself C++ in 21 Days“ © 1999 by SAMS Publishing; Seiten 263, 264, 267, 285 ).
  • 13.2. „Der Operator new erzeugt solche Objekte, und der Operator delete kann benutzt werden, um sie zu zerstören. Objekte, die durch new angelegt wurden, werden als »im Freispeicher« befindlich bezeichnet (und auch als >>Heap-Objekte<< oder »im dynamischen Speicher angelegt«)“ (das Buch „ Die C++-Programmiersprache“; 3. Auflage; Bjarne Stroustrup (der Erfinder von C++); Addison Wesley Longman Verlag; 1998; ISBN 3-8273-1296-5; Seite 136 ).
• 14. Datenbanktabelle als ein Array von Zeiger:
  • „Da das erstellte Formular der Beispielanwendung Informationen zu einer Person enthält, bietet es sich an, die neue Klasse CPerson zu nennen. Damit Sie die Klasse im Objektarray speichern können, müssen Sie die Klasse von CObject als Basisklasse ableiten.“
  • „Nach der gleichen Logik, ..., nehmen Sie in der heutigen Beispielanwendung einen neuen Personendatensatz in das Objektarray der Dokumentklasse auf. Nachdem Sie einen neuen Datensatz hinzugefügt haben, können Sie einen Zeiger darauf zurückgeben, so daß die Ansichtsklasse direkt die Variablen im Datensatzobjekt aktualisieren kann.“
  • „Sobald der neue Datensatz hinzugefügt ist, setzen Sie den aktuellen Datensatzzeiger auf den neuen Datensatz im Array. Auf diese Weise läßt sich die aktuelle Datensatznummer leicht anhand des Positionszählers bestimmen.“
  • „For your sample application, because the form that you created has information about a person, you might want to call your dass something like CPerson. To be able to hold your dass in the object array, you need to give it CObject as the base class.“
  • „Following the same logic ..., you should add a new person record to the object array in your document dass in today's sample application. Once you add a new record, you can return a pointer to the new record so that the view dass can directly update the variables in the record object.“
  • „Once the new record is added, you will want to set the current record position marker to the new record in the array. This way, the current record number can be easily determined by checking the position counter.“
  • ( Visual C++ 6 in 21 Tagen, Davis Chapman, Deutsche Übersetzung: Frank Langenau, 1998 by SAMS, Markt&Technik Buch- und Software-Verlag GmbH, ISBN: 3-8272-2035-1, Seiten 325, 333; Sams Teach Yourself Visual C++ ® 6 in 21 Days, Copyright © 1998 by Sams Publishing, ISBN: 0-672-31240-9, Seiten 288, 295, 296 ).

Some terms need to be defined to describe the current invention. These terms and their definitions are:

• 1. Android:
  • 1.1. “Android the, -en/-en, Androide the, -n/-n an → automaton in human form capable of certain activities” (the Brockhaus Encyclopedia: in 24 vols. - 19th, completely revised. Edition, FA Brockhaus GmbH, Mannheim 1986, ISBN 3-7653-1101-4/3-7653-1201-0; Page 562 ).
  • 1.2. “Android (Greek andro- from αvδρoς = man - Greek: human-shaped) is the name for a robot that looks similar to a human and behaves like a human.” - Wikipedia, the free encyclopedia.htm (http:// en.wikipedia.org/wiki/Android).
  • 1.2.1. “An Android is referred to as:”
  • 1.2.1.1. “a robot (a mechanical creature) that looks and behaves like a human;”
  • 1.2.1.2. “a cyborg (part mechanical being or part organic being) that looks and behaves like a human;”
  • 1.2.1.3. “an artificial being, but primarily organic, that looks like a human and behaves like a human.”
• 2. Cyborg:
  • 2.1. “Cyborg ['saibo:g; Kw. from English cybernetic organism >cybernetic living being<] the, -s/-s, in futurology refers to a person in whose body there is technology. Devices are integrated as replacements to support organs that are not sufficiently powerful (e.g. for long space flights)” (the Brockhaus Encyclopedia: in 24 vols. - 19th, completely revised. Edition, FA Brockhaus GmbH, Mannheim 1988, ISBN 3-7653-1105-7/3-7653-1205-3; Page 67).
  • 2.2. “The term cyborg refers to a portmanteau of cybernetic organism that consists of biological and artificial parts. The cyborg is a hybrid creature between a living organism and a machine.” - Wikipedia, the free encyclopedia.htm (http://en.wikipedia.org/wiki/Cyborg):
  • 2.2.1. “Generally, the goal is to create, rebuild, improve, add the ability of the human organism using the technology.”
  • 2.2.2. “Isaak Asimov explored the concepts of cybernetics in his short story “The Bicentennial Man.” His investigations led to a breakthrough in human medicine using artificial organs and prostheses." (An "artificial ... brain" was also depicted in the story).
  • 2.2.3. “The term cyborg is used to describe a man or woman with bionic or mechanical implants.”
• 3. Strong Artificial Intelligence:
  • 3.1. “The understanding of the term artificial intelligence often reflects the Enlightenment idea of humans as machines, which the so-called strong artificial intelligence aims to imitate: to create an intelligence that can think and solve problems like humans. .”;
  • 3.2. "...according to strong Kl, the computer is not merely a tool for studying the mind, but a properly programmed computer is really a mind...""(J. Searle in Minds, Brains and Programs. The Behavioral and Brain Sciences, vol. 3, 1980)” - Wikipedia, the free encyclopedia.htm (http://en.wikipedia.org/wiki/strong_Al).
• 4. “The mind is the common term mostly used to describe the higher functionalities of the human brain.” - Wikipedia, the free encyclopedia. htm (http://en.wikipedia.org/wiki/Mind).
• 5. “In psychology... two... stimuli are associated (in the stimulus-response reflexes) when the experience of one leads to the effects of the other... This is sometimes called Pavlovian association “) called.” - Wikipedia, the free encyclopedia.htm (http://en.wikipedia.org/wiki/Association_%28psychology%29).
• 6th thought:
  • 6.1. “Thought, usually the result of an act or a (more or less complex) sequence of acts of thinking, conveyed through language, and as such the subject of new processes.” ( Meyer's Encyclopedic Lexicon in 25 volumes, Volume 9: Fj-Gel, with special contributions by Hermann J. Abs, Ossip K. Flechtheim, Katharina Focke, Manfred Riedel, Bibliografies Institut AG, Mannheim 1973, Lexikonverlag; Page 787 ).
  • 6.2. “Geldanke [gә'daηkә], the; -ns, -n: something that is thought; ..." ( Duden, The Meaning Dictionary, 4th, newly edited and expanded edition, Duden Volume 10, Bibliografies Institut GmbH, Dudenverlag, Mannheim · Zurich, Duden 2010, ISBN 978-3-411-04104-6; Page 412 ).
  • 6.3. "A thought is an immediate symbolic structure of thought... the thought refers to a result, product of the thought process..." - Wikipedia, the free encyclopedia.htm (http://de.wikipedia.org/wiki/Gedanke).
  • 6.4. “Thought is a synonym for an idea.” - Wikipedia, the free encyclopedia.htm (http://en.wikipedia.org/wiki/Thought_(disambiguation)).
• 7. Abstract Thinking:
  • 7.1. “abstract thinking, thought process through which certain aspects can be generalized in a detached (abstracted) manner from complex facts” ( The lexicon “Lexicon of Psychology”: in 5 volumes, editor: Gerd Wenninger - Heidelberg; Berlin: Spektrum, Akademischer Verlag GmbH, Heidelberg 2000, Vol. 1. Ato E, ISBN 3-8274-0312-X; Page 9 ).
  • 7.2. “Abstraction is the thought process in the formation of concepts and laws, characterized by the gradual separation of certain features with the intention of recognizing what remains the same and is essential to various objects; also the result of the A. process. In generalizing A. the relevant common features of different objects or classes are highlighted highlighted, leaving aside the insignificant, different ones” (the Brockhaus encyclopedia in 24 vols. - 20th, completely revised. Edition, FA Brockhaus GmbH, Mannheim 1996, Vol. 1. A-AP, ISBN 3-7653-3100-7/3-7653-3101-5; Page 84 ).
  • 7.3. “Abstraction, conceptually summarized representation that dispenses with accidental details; The process and result of selecting a very specific aspect of a complex issue in order to classify, evaluate and generalize it” ( The lexicon “Lexicon of Psychology”: in 5 volumes, editor: Gerd Wenninger - Heidelberg; Berlin: Spektrum, Akademischer Verlag GmbH, Heidelberg 2000, Vol. 1. Ato E, ISBN 3-8274-0312-X; Page 9 ).
  • 7.4. “Abstraction is the process or result of generalization by reducing the information content of a concept or an observable phenomenon, typically in order to retain only information which is relevant for a particular purpose. For example, abstracting a leather soccer ball to a ball retains only the information on general ball attributes and behavior."--Wikipedia, the free encyclopedia.htm (http://en.wikipedia.org/wiki/Abstract_thinking).
• 8. Abstraction ability:
  • 8.1. “Ability to abstract → ...: that; -s; - (mental) ability to derive something general from the particular” ( The “German Words Book” dictionary; Karl-Dieter Bünting, Isis Verlag AG, 1996, Chur/Switzerland, page 38 ).
• 9. "Telepathy (from the Greek τέλη, tele, "far away" and πάθεiα, patheia, "sensation" or "receptivity") refers to the ability to transmit information from one person to another person ... ". "The German term for telepathy is thought transmission” - Wikipedia, the free encyclopedia (http://de.wikipedia.org/wiki/Telepathie).
• 10. “The most popular and developed model of OOP is a class-based model... In this model, objects are the “entities” that are the state (i.e. the data), the behavior (i.e. the procedures or the methods ) and identity (i.e. the unique existence between all other objects). The structure and relationship of an object are defined at a class, which is a definition or an instantiation and initialization plan of all objects of a specific type..." - Wikipedia, the free encyclopedia.htm (http://en. wikipedia.org/wiki/Class-based_OOP).
• 11. Pointer:
  • 11.1. “In computer science, a pointer refers to a special class of variables that refer to another memory area or these variables themselves... The referenced memory area contains either data (object, variable) or program code.” - Wikipedia, the free encyclopedia. htm (http://de.wikipedia.org/wiki/Zeiger).
  • 11.2. “In C and C++, pointers are variables that store addresses (of a memory area) and can be NULL (the NULL pointer stores the address of a NULL object, or is not referenced to anything). A pointer is a simple implementation of the general reference...(although this is completely different from what was called a reference in C++)." - Wikipedia, the free encyclopedia.htm (http://en.wikipedia .org/wiki/Pointer).
  • 11.3. “A pointer is a variable that contains a memory address.” You need to be able to distinguish the following three things in order to avoid problems with pointers:
    • - the pointer itself,
    • — the address stored in the pointer,
    • -- the value at the address stored in the pointer." (the book "C++ in 21 Days", Jesse Liberty, 2000 by Markt&Technik Verlag, ISBN 3-8272-5624-0, the authorized translation of the original American edition: “Teach Yourself C++ in 21 Days” © 1999 by SAMS Publishing; Pages 252, 257 ).
• 12. Reference:
  • 12.1. “A reference represents a reference to an object...a reference therefore represents an alias name for an entity...” - Wikipedia, the free encyclopedia.htm (http://de.wikipedia.org/wiki/ Reference_%28Programming%29).
  • 12.2. “A reference is an alias name. When you create a reference, you initialize it with the name of another object, the target. From that moment on, the reference is like an alternative name for the target, and everything you do with the reference actually refers to the target" (the book "C++ in 21 Days", Jesse Liberty, 2000 by Markt&Technik Verlag, ISBN 3-8272-5624-0, the authorized translation of the original American edition: “Teach Yourself C++ in 21 Days” © 1999 by SAMS Publishing; Page 290 ).
• 13. Object:
  • 13.1. “With the keyword new you create new objects on the heap” (the free memory, the dynamic memory). “The ones from new returned address" (from the memory area) "is stored in a pointer" (the book "C++ in 21 days", Jesse Liberty, 2000 by Markt&Technik Verlag, ISBN 3-8272-5624-0, the authorized translation of the original American edition: “Teach Yourself C++ in 21 Days” © 1999 by SAMS Publishing; Pages 263, 264, 267, 285 ).
  • 13.2. “The new operator creates such objects, and the delete operator can be used to destroy them. Objects created by new are referred to as "located in heap" (and also as "heap objects" or "created in dynamic memory")" (the book " The C++ programming language”; 3. Edition; Bjarne Stroustrup (the inventor of C++); Addison Wesley Longman Publishing; 1998; ISBN 3-8273-1296-5; Page 136 ).
• 14. Database table as an array of pointers:
  • “Since the sample application form created contains information about a person, it makes sense to name the new class CPerson. In order to store the class in the object array, you must derive the class from CObject as a base class.”
  • “Following the same logic, ..., in today's sample application, you add a new person record to the document class's object array. After you add a new record, you can return a pointer to it so that the view class can directly update the variables in the record object.”
  • “Once the new record is added, set the current record pointer to the new record in the array. In this way, the current data record number can be easily determined using the position counter.”
  • “For your sample application, because the form that you created has information about a person, you might want to call your something like CPerson. To be able to hold your das in the object array, you need to give it CObject as the base class.”
  • “Following the same logic ..., you should add a new person record to the object array in your document that in today's sample application. Once you add a new record, you can return a pointer to the new record so that the view can directly update the variables in the record object.”
  • “Once the new record is added, you will want to set the current record position marker to the new record in the array. This way, the current record number can be easily determined by checking the position counter.”
  • ( Visual C++ 6 in 21 days, Davis Chapman, German translation: Frank Langenau, 1998 by SAMS, Markt&Technik Buch- und Software-Verlag GmbH, ISBN: 3-8272-2035-1, pages 325, 333; Sams Teach Yourself Visual C++ ® 6 in 21 Days, Copyright © 1998 by Sams Publishing, ISBN: 0-672-31240-9, pages 288, 295, 296 ).

The present invention is covered by my patents “A Pointer-Oriented Object Detection Method for Abstract Treatment of Information from an Artificial Intelligence Computer System of a Cyborg or an Android Based on a Natural Language,” my United States Patent (Patent US 7,672,922 ) and my patent of the State of Israel (Patent IL182773 ), protected. This invention, as well as my inventions “A computer system and the working method of this computer system of artificial intelligence of a cyborg or an android”, my patent of the State of Israel (Patent IL174910 ), my United States patent application (the file number US 16/288,154 ) and the German patent application (the file number DE 10 2021 005 701.5 ), as well as “Method of operation for treatment of abstract objects (thought substances) by an artificial intelligence computer system of a cyborg or an android”, my patent of the United States of America (Patent US 8,271,411 ), my patent of the State of Israel (Patent IL175533 ) and the German patent application (the file number DE 10 2020 007 964.4 ), is based on one of my scientific discoveries, or rather on my theory of subjectivity, with the topic “Human intelligence, natural intelligence, the functionality of human (natural) intelligence”.

The three inventions make possible either the transformation of a humanoid robot into an android or the transformation of a human into a cyborg with the artificial part - artificial intelligence.

1. 1. Cyborg (Android) - Hardwareentwicklung;
2. 2. Cyborg (Android) - Softwareentwicklung;
3. 3. Cyborg (Android) - Herstellung;
4. 4. Cyborg (Android) - Erziehung;
5. 5. Cyborg (Android) - Unterricht;
6. 6. Mensch (Cyborg (Android)) - Medizin;
7. 7. Mensch (Cyborg (Android)) - Verbrechensbekämpfung;
8. 8. Mensch (Cyborg (Android)) - Kampf gegen Terrorismus...

Behind this invention there is an enormous job potential, which consists of thousands of highly qualified, highly motivating, high-quality jobs in various industries. For example:

1. 1. Cyborg (Android) - hardware development;
2. 2. Cyborg (Android) - software development;
3. 3. Cyborg (Android) - Manufacturing;
4. 4. Cyborg (Android) - Education;
5. 5. Cyborg (Android) - lessons;
6. 6. Human (Cyborg (Android)) - Medicine;
7. 7. Human (Cyborg (Android)) - Crime Fighting;
8. 8. Human (Cyborg (Android)) - Fight against terrorism...

1. 1. ein zeigerorientiertes Objekterfassungsverfahren zu realisieren, bei dem ein Computersystem von einer Künstlichen Intelligenz von einem Cyborg oder einem Android die ein- und auskommenden, bzw. behandelten, Informationen in einer natürlichen Sprache greifbar, stofflich artig, leistungsstark verwaltet;
2. 2. ein zeigerorientiertes Objekterfassungsverfahren zu realisieren, bei dem ein Computersystem von einer Künstlichen Intelligenz von einem Cyborg oder einem Android (auch selbst) die ein- und auskommenden, bzw. behandelten, Informationen in einer natürlichen Sprache klassifiziert;
3. 3. ein zeigerorientiertes Objekterfassungsverfahren zu realisieren, bei dem ein Computersystem von einer Künstlichen Intelligenz von einem Cyborg oder einem Android den Zugriff auf Datenelemente einer Klasse in einer natürlichen Sprache bekommt;
4. 4. ein zeigerorientiertes Objekterfassungsverfahren zu realisieren, bei dem ein Computersystem von einer Künstlichen Intelligenz von einem Cyborg oder einem Android diese ein- und auskommenden, bzw. behandelten, Informationen in einer anderen natürlichen Sprache greifbar, stofflich artig, leistungsstark verwaltet;
5. 5. eine entsprechende Assoziation in einem Computersystem von einer Künstlichen Intelligenz von einem Cyborg oder einem Android physisch zu substantiieren;
6. 6. einen entsprechenden Gedanken im einem Computersystem von einer Künstlichen Intelligenz von einem Cyborg oder einem Android physisch zu substantiieren.

The invention is based on the problem:

1. 1. to implement a pointer-oriented object detection method in which a computer system from an artificial intelligence of a cyborg or an android manages the incoming and outgoing or treated information in a natural language in a tangible, material-like, powerful way;
2. 2. to implement a pointer-oriented object detection method in which a computer system from an artificial intelligence of a cyborg or an android (even itself) classifies the incoming and outgoing or treated information in a natural language;
3. 3. to implement a pointer-oriented object detection method in which a computer system gets access to data elements of a class in a natural language from an artificial intelligence of a cyborg or an android;
4. 4. to implement a pointer-oriented object detection method in which a computer system from an artificial intelligence of a cyborg or an android manages this incoming and outgoing or treated information in a different natural language in a tangible, material-like, powerful way;
5. 5. to physically substantiate a corresponding association in a computer system of an artificial intelligence of a cyborg or an android;
6. 6. to physically substantiate a corresponding thought in a computer system of an artificial intelligence of a cyborg or an android.

The solution according to the invention for the type mentioned at the beginning is that a natural language that the computer system uses in its working process is interpreted by this computer system in an object-oriented manner in a way of thinking from the class-based model of OOP, or the C++ programming language . In the main memory (the heap (the freely available memory area with dynamic memory requirements)) of the computer system of the artificial intelligence of a cyborg or an android becomes subjective at a runtime, in the sense of the subject (of the computer system of the artificial intelligence of the cyborg or depending on the Android), a first pointer is created. In this pointer, the random access memory (RAM) working memory addresses of a working memory area of all sensor reactions from all sensor groups that represent all sense organs (more precisely, at least five sensor groups, the visual sensor group, the auditory sensor group, the olfactory sensor group, the touch sensor group, the taste sensor group, and In addition, all sensor groups from all other senses that are equipped with the sensory organs, with at least one sensor group being installed for each sensory organ) are stored. In this way, a subjective object is instantiated by the computer system. This means that a subjective object is physically built, where the subjective object contains the combination of all sensor reactions. Of course, any sensor reactions are subjectively initialized with ZERO. Nevertheless, these sensor reactions are also included in the subjective object.

Each subjective object is unique in relation to all the senses equipped with the sense organs, with at least one sensor group built into each sense organ, and which are realized in the concrete cyborg or the android.

The subjective object is captured at the same time. The subjective object is defined by the computer system by the artificial intelligence of the cyborg or the android but not relative to a time.

With this subjective object, or with the first pointer, a recorded signal reaction in the computer system is physically substantiated by the artificial intelligence of the cyborg or the android, in the sense of forming a substance from the recorded signal reaction.

The first pointer, or the subjective object, is temporary. The signal reaction recorded by the computer system from the artificial intelligence of the cyborg or the android (the subjective object) is not stored long-term in the computer system; it is stored after data processing by the subjective object, more precisely after the transformation from the subjective object to the associative object, deleted from the computer system.

In its working method, in a natural language, at runtime the subjective object, or this pointer, which is referred to as the subjective object and which reacts to all sensor reactions nen from all sensor groups, which represent all sense organs, shows, associatively, in the sense with associations from the subject (from the computer system, from the artificial intelligence, from the cyborg or the android), and relatively, but not clearly, completed at a time. The time is determined from the sensor reactions from the sensor groups of the subjective object. Relativity at time is defined in a natural language. Relativity to time can also be implemented through a time window, for example six working days and a holiday. This completed or supplemented first pointer is stored in another, the second pointer. In this way, the associative object is instantiated by the computer system, the associative object containing a further combination of all sensor responses with expanded associative information. With this associative object, or with the second pointer, a corresponding association in the computer system is physically substantiated by the artificial intelligence of a cyborg or an android, in the sense of forming a substance from the corresponding association.

When the associative object is instantiated, the first pointer is deleted or set to zero. This frees the memory from this pointer. The memory pointed to by the first pointer is now managed by the second pointer.

When building an associative object corresponding to the subjective object, the attributes of the subjective object, the sense1, the sense2, the sense3, the sense4, the sense5 and the n-sense6, are adopted by the associative object and the associative object is additionally included supplemented with other attributes. Accordingly, the associative object has the following attributes, the senset, the sense2, the sense3, the sense4, the sense5 and the n-sense6.

The attribute, the signal phrase, is another attribute of the associative object. The signal phrase is determined by one or more senses, that is, the signal phrase can refer to the sense or several senses of the signal phrase. By the sense of the signal phrase is meant the sense or senses from which the signal phrase was determined, that is, the sense1, the sense2, the sense3, the sense4, the sense5 or, for example, the n -Sinn6. The attribute, the signal phrase, is responsible for the uniqueness of the associative object.

An additional attribute of the associative object, the sense assignment, is also responsible for the uniqueness of the associative object. The sense occupancy shows the sense occupancy of the senses from which the signal phrase was determined, or in the sense occupancy the sense occupancy of the senses from which the signal phrase was determined is stored. The sense occupancy is simply a sense occupancy assignment of the senses from which the signal phrase was determined.

The associative object is clearly constructed according to a signal phrase and a sense assignment of at least one sense.

In another embodiment, the responsibility for the clarity of the sense occupancy is taken over by a specific working memory area.

When the artificial intelligence of the cyborg or the android assumes responsibility for the uniqueness of the sense assignment of the associative object of the computer system of the cyborg or the android of a specific memory area of the computer system of the artificial intelligence of the cyborg or the android, the associative object becomes unique built according to the signal phrase and the specific working memory area in which the associative object is stored and which is responsible for the uniqueness of the associative object in relation to a specific sensory assignment.

The corresponding associations of the computer system by the artificial intelligence of the cyborg or the android (the associative objects) are experienced by the computer system.

The computer system's corresponding associations of the artificial intelligence of the cyborg or the android (the associative object) are clearly stored in the computer system for the long term.

Further in its working procedure, the memory of the computer system of the artificial intelligence of a cyborg or an android becomes abstract at runtime in a natural language, in the sense of the abstract information in a natural language relative to the associative information contained in an associative object of the computer system stored by the artificial intelligence of the cyborg or the android, analytically, in the sense of the work of the cyborg interpreter, a third pointer is created. This third pointer points to the vocabulary of the computer system of the artificial intelligence of the cyborg or the android, or among the object variables (that is, among the vocabulary addresses of the object variable names) of this third pointer, which in themselves already contain analytical and some abstract information as well as also belong to the vocabulary (physical), the vocabulary addresses are stored by the words that form the associative information.

First, another random access memory (RAM) memory area in which every word of a vocabulary of the computer system is stored by the artificial intelligence of the cyborg or the android is located. Then each parsed word of the signal phrase of the associative object is mapped with a similar word of the computer system's vocabulary by the artificial intelligence of the cyborg or the android. This is a step from mapping each parsed word of the signal phrase of the associative object with a similar word of the vocabulary of the computer system of the artificial intelligence of the cyborg or the android. During the mapping, each parsed word in the signal phrase of the associative object is mapped with an identical word in the vocabulary.

After the mapping step, after analytical work, a third pointer to a combination of words from the vocabulary of the computer system is physically built, with a random access memory (RAM) working memory address of the further random access memory (RAM) working memory area of each mapped word of the vocabulary together with a Random Access Memory (RAM) working memory address of the word, which is an analytical entity after analytical work and which contains an abstract meaning of the parsed word in a context to the whole associative object, is stored, whereby the depicted word of the vocabulary is the word from the step of the mapping and is equal to the parsed word of the signal phrase of the associative object, the combination of words including the analytical entities and the mapped words, the computer system working in the one natural language, and the third pointer being unique to the combination of words.

The abstract object can only be unique according to a complete word combination of a vocabulary of abstract words that are mapped by the signal phrase of the associative object in the mapping step.

The abstract object is stored based on a time that was determined from the sensor reactions of the sensor groups of the subjective object. Relativity at time is defined in a natural language. Relativity to time can also be implemented through a time window, for example six working days and a holiday.

In this way, the abstract object is instantiated and initialized by the computer system, or its object variables are instantiated and initialized. When the abstract object is initialized, it contains the abstract information from the entire associative object or from the entire subjective object. With this abstract object, or with the third pointer, a corresponding thought is physically substantiated by the computer system of the artificial intelligence of a cyborg or an android, in the sense of forming a substance from the corresponding thought.

This third pointer does not point to the computer system's associative object. It is the job of the cyborg interpreter to connect, reference and synchronize the two pointers, the third and the second. The cyborg interpreter works in a natural language, e.g. German, English, etc.

The computer system uses a word in another natural language as a reference to a word in the first native natural language for the working method in the first native natural language.

In order to work in another natural language, the computer system needs the abstract objects in the other natural language.

Accordingly, for the operation method in another natural language, the computer system uses the references (i.e. the abstract objects in the other natural language) in the other natural language to the abstract objects in the first, originally "native" natural language. The references are physically the aliases in another natural language to the abstract object in the first, originally “native,” natural language.

The same logic is used for the working procedures in several natural languages. The abstract objects are classified in a natural language in a way of thinking from the class-based model of OOP. (In this way, the classes of the computer system are also classified by the artificial intelligence of the cyborg or the android itself in a natural language.)

The member variables of a class from the abstract object, or data elements, are represented by the abstract objects from the classes in which words are classified that belong to a question word belong to the natural language in which the computer system of the artificial intelligence of the cyborg or the android is working at the time, more precisely realized by the question word that was asked about a part of speech or a member of a sentence.

The member functions of a class, which manipulate the member variables, are with the abstract objects from the classes in which words are classified, which belong to a word root from a verb from a natural language in which the computer system from the artificial intelligence from the cyborg or which Android is working at the time, belongs to, initialized. These member functions are stored under a member variable for the member function that presents an abstract object from a class that classifies the words belonging to the root of the verb “do.”

The auxiliary verbs, the modal verbs, the prepositions, the conjunctions, etc. are to be viewed as constants. In the natural language in which the computer system of the artificial intelligence of the cyborg or the android currently works, they are each under an element variable that is realized with the help of an object of the class in which the auxiliary verb, the modal verb, the preposition , the conjunction etc. itself is classified.

If different members of a sentence, e.g. the object, the subject, the predicate, the attributes, the adverbial clauses, the local clause, the temporal clause, etc., consist of several words, these clause members are used by the computer system of the artificial intelligence of a cyborg or an android initialized when interpreted by the other previously defined and assigned variables. If these sentence members are also saved under the abstract object, they should be deleted or forgotten as quickly as possible.

The member variables of a class, or the data elements, the member functions of a class that manipulate the member variables, the constants, or these member variables under which a member variable value, a function, a constant is stored, substantiate the corresponding idea analytically, in the sense after the work of the cyborg interpreter.

The compound sentences, a sentence connection or a sentence structure, are interpreted by the computer system by the artificial intelligence of a cyborg or an android from the abstract object to the simple sentences (partial sentences, or main and subordinate clauses) with the same real one Timestamp decomposed.

In order to represent relativity to the time of the abstract object, the state of things to the abstract object, personality to the abstract object, etc., the abstract object is always stored with a modal verb, auxiliary verb, etc.

Using this third pointer, or the abstract object, you can access the member variables, i.e. the data elements of a class, or manipulate the member variables, i.e. the data elements of a class.

Telepathing is carried out by a simultaneous (occurring at the same time) transfer of all three objects, i.e. the recorded signal reaction, the corresponding association and the corresponding thought, from the computer system of the artificial intelligence from the cyborg or the android to another remote Computer system implemented by an artificial intelligence of a cyborg or an android. All three objects, the recorded signal reaction, the corresponding association and the corresponding thought, of the computer system of the artificial intelligence of the cyborg or the android are transferred to the other remote computer system through an n-sense, for example WLAN, in a sense of by passing objects to a method with a path-by-value mechanism. Both the computer system of the artificial intelligence of the cyborg or the android and the other remote computer system of the artificial intelligence of the cyborg or the android work in real time. Therefore, the real-time timestamps of all three objects, the recorded signal reaction, the corresponding association and the corresponding thought, are different between the two systems. However, the associative object (the corresponding association) is stored based on a time that was determined from the respective sensor reactions of the subjective object. The abstract object (the corresponding thought) is also stored in relation to the time that was determined from the respective sensor reactions of the subjective object. The subjective object (the recorded signal response) is not defined relative to a time. The subjective objects are the same in telepathing on the two systems, the computer system from the artificial intelligence of the cyborg or the android and the other remote computer system from the artificial intelligence of the cyborg or the android. As a result, all three objects, the recorded signal response, the corresponding association and the corresponding thought, are viewed on the two systems during telepathing relative to the same time.

Further details, features and advantages result from the following description of the exemplary embodiments shown in the drawings and the subclaims.

• 1A ein zeigerorientiertes Objekterfassungsverfahren für eine greifbare, stofflich artige Behandlung von Informationen von einem Computersystem von einer Künstlichen Intelligenz von einem Cyborg oder einem Android, wobei das Computersystem von der Künstlichen Intelligenz von dem Cyborg oder dem Android auf einer natürlichen Sprache basiert, und wobei eine aufgenommene Signal-Reaktion des Computersystems von der Künstlichen Intelligenz von dem Cyborg oder dem Android, eine entsprechende Assoziation des Computersystems von der Künstlichen Intelligenz von dem Cyborg oder dem Android, und ein entsprechender Gedanke des Computersystems von der Künstlichen Intelligenz von dem Cyborg oder dem Android in dem Computersystem physisch gebaut werden; ein Arbeitsverfahren für das Bauen des ersten Zeigers, des subjektiven Objektes des Computersystems von der Künstlichen Intelligenz von dem Cyborg oder dem Android, ein Arbeitsverfahren für das Bauen des zweiten Zeigers, des assoziativen Objektes des Computersystems von der Künstlichen Intelligenz von dem Cyborg oder dem Android, und ein Arbeitsverfahren des Computersystems von der Künstlichen Intelligenz von dem Cyborg oder dem Android in einer anderen (oder in mehreren) natürlichen Sprache(n).
• 1 B ein Arbeitsverfahren für das Bauen des ersten Zeigers, des subjektiven Objektes des Computersystems von der Künstlichen Intelligenz von dem Cyborg oder dem Android, und ein Arbeitsverfahren für das Bauen des zweiten Zeigers, des assoziativen Objektes des Computersystems von der Künstlichen Intelligenz von dem Cyborg oder dem Android.
• 1C ein Arbeitsverfahren für das Bauen des zweiten Zeigers, des assoziativen Objektes des Computersystems von der Künstlichen Intelligenz von dem Cyborg oder dem Android.
• 1 D ein Arbeitsverfahren für das Zusammenbauen der entsprechenden Assoziation des Computersystems von der Künstlichen Intelligenz von dem Cyborg oder dem Android (des assoziativen Objektes) und ein Arbeitsverfahren für das Realisieren von der Eindeutigkeit der Sinne-Belegung von dem assoziativen Objekt des Computersystems von der Künstlichen Intelligenz von dem Cyborg oder dem Android durch eine integrierte Sinne-Belegung.
• 1E ein Arbeitsverfahren für das Realisieren von der Eindeutigkeit der Sinne-Belegung von dem assoziativen Objekt des Computersystems von der Künstlichen Intelligenz von dem Cyborg oder dem Android durch die integrierte Sinne-Belegung, die mithilfe einer Schnittstelle abgearbeitet wird.
• 1 F ein Arbeitsverfahren für die Übernahme der Verantwortung für die Eindeutigkeit von der Sinne-Belegung von dem assoziativen Objekt des Computersystems von der Künstlichen Intelligenz von dem Cyborg oder dem Android von einem bestimmten Arbeitsspeicherbereich des Computersystems von der Künstlichen Intelligenz von dem Cyborg oder dem Android.
• 1G ein Arbeitsverfahren für das Bauen des dritten Zeigers, des abstrakten Objektes des Computersystems von der Künstlichen Intelligenz von dem Cyborg oder dem Android.
• 2 Das zeigerorientierte Objekterfassungsverfahren für die greifbare, stofflich artige Behandlung von Informationen von dem Computersystem von der Künstlichen Intelligenz von dem Cyborg oder dem Android, wobei ein Zugreifen von dem Computersystem von der Künstlichen Intelligenz von dem Cyborg oder dem Android auf Datenelemente einer Klasse in der einen natürlichen Sprache stattfindet.
• 3 Das zeigerorientierte Objekterfassungsverfahren für die greifbare, stofflich artige Behandlung von Informationen von dem Computersystem von der Künstlichen Intelligenz von dem Cyborg oder dem Android, wobei ein Zugreifen von dem Computersystem von der Künstlichen Intelligenz von dem Cyborg oder dem Android auf Datenelemente einer Klasse auf einer anderen vertieften abstrakten Ebene in der einen natürlichen Sprache stattfindet.
• 4 Das zeigerorientierte Objekterfassungsverfahren für die greifbare, stofflich artige Behandlung von Informationen von dem Computersystem von der Künstlichen Intelligenz von dem Cyborg oder dem Android, wobei ein subjektives, im Sinne von dem Subjekt, von dem Cyborg oder dem Android abhängig, Darstellen der Relativität zu der Zeit von dem abstrakten Objekt, des Standes der Dinge, im Sinne fertig oder nicht fertig, von dem abstrakten Objekt, der Persönlichkeit zu dem abstrakten Objekt von dem Computersystem von der Künstlichen Intelligenz von dem Cyborg oder dem Android in der einen natürlichen Sprache abgebildet ist.

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• 1A a pointer-oriented object detection method for a tangible, material-like treatment of information from a computer system of an artificial intelligence of a cyborg or an android, the computer system of the artificial intelligence of the cyborg or the android being based on a natural language, and wherein a recorded signal -Reaction of the computer system from the artificial intelligence of the cyborg or the android, a corresponding association of the computer system from the artificial intelligence of the cyborg or the android, and a corresponding thought of the computer system from the artificial intelligence of the cyborg or the android in the computer system be physically built; a working procedure for building the first pointer, the subjective object of the computer system of the artificial intelligence of the cyborg or the android, a working procedure for building the second pointer, the associative object of the computer system of the artificial intelligence of the cyborg or the android, and an operating procedure of the computer system of the artificial intelligence of the cyborg or the android in another (or in several) natural language(s).
• 1 B a working method for building the first pointer, the subjective object of the artificial intelligence computer system of the cyborg or the android, and a working method for building the second pointer, the associative object of the artificial intelligence computer system of the cyborg or the android .
• 1C a working procedure for building the second pointer, the associative object of the computer system of the artificial intelligence of the cyborg or the android.
• 1D a working procedure for assembling the corresponding association of the computer system of the artificial intelligence of the cyborg or the android (the associative object) and a working procedure for realizing the uniqueness of the sense assignment of the associative object of the computer system of the artificial intelligence of the Cyborg or the Android through an integrated sense assignment.
• 1E a working method for realizing the uniqueness of the sense occupancy of the associative object of the computer system of the artificial intelligence of the cyborg or the android through the integrated sense occupancy, which is processed using an interface.
• 1 F a working procedure for taking responsibility for the uniqueness of the sense occupancy of the associative object of the computer system of the artificial intelligence of the cyborg or the android of a specific memory area of the computer system of the artificial intelligence of the cyborg or the android.
• 1G a working method for building the third pointer, the abstract object of the computer system of the artificial intelligence of the cyborg or the android.
• 2 The pointer-oriented object detection method for the tangible, material-like treatment of information from the computer system of the artificial intelligence of the cyborg or the android, wherein access by the computer system of the artificial intelligence of the cyborg or the android to data elements of a class in the one natural language takes place.
• 3 The pointer-oriented object detection method for the tangible, material-like treatment of information from the computer system of the artificial intelligence of the cyborg or the android, wherein accessing by the computer system of the artificial intelligence of the cyborg or the android to data elements of one class on another abstract level in which natural language takes place.
• 4 The pointer-oriented object detection method for the tangible, material-like treatment of information from the computer system from the artificial intelligence of the cyborg or the android, whereby a subjective, in the sense of the subject, dependent on the cyborg or the android, representation of the relativity at the time from the abstract object, the state of things, in the sense of being finished or not finished, from the abstract object, the personality to the abstract object from the computer system to the artificial intelligence from the cyborg or the android is depicted in the one natural language.

In the 1A of the drawings is the pointer-oriented object capture method for a tangible, material-like treatment of information from a computer system by an artist chen intelligence of a cyborg or an android, wherein the computer system of the artificial intelligence of the cyborg or the android is based on a natural language, and wherein a recorded signal reaction of the computer system of the artificial intelligence of the cyborg or the android, a corresponding Association of the computer system from the artificial intelligence of the cyborg or the android, and a corresponding idea of the computer system from the artificial intelligence of the cyborg or the android being physically built in the computer system.

1. 1. Das erste Element ist die aufgenommene Signal-Reaktion; die aufgenommene Signal-Reaktion ist ein Zeiger. In der vorliegenden Erfindung ist die aufgenommene Signal-Reaktion der erste Zeiger. Der erste Zeiger ist das subjektive Objekt des Computersystems von der Künstlichen Intelligenz von dem Cyborg oder dem Android. In Bezug auf die aufgenommene Signal-Reaktion rezitiert die vorliegende Erfindung zwei Unterelemente der Erfindung:
   • 1.1. Ein erstes Unterelement ist die Reaktion von einem Sensor; ein Input von einem Sensor auf ein Signal ist die Reaktion von dem Sensor. Das erste Unterelement ist ein Zeiger. Der Wert an der in dem Zeiger gespeicherten Adresse ist der Input von dem Sensor.
   • 1.2. Ein zweites Unterelement ist die Sensorreaktion von einem Sinn; in der Sensorreaktion werden alle Reaktionen von allen Sensoren von einem Sinn zusammengefasst. Das zweite Unterelement ist ein Zeiger. Die Werte an den in dem Zeiger gespeicherten Adressen sind die Adressen von allen Reaktionen von allen Sensoren von einem Sinn. In der aufgenommenen Signal-Reaktion werden alle Sensorreaktionen zu einer Kombination von den Sensorreaktionen zusammengebaut. Die aufgenommene Signal-Reaktion ist ein Zeiger. Die Werte an den in dem Zeiger gespeicherten Adressen sind die Adressen von allen Sensorreaktionen von der Kombination von den Sensorreaktionen.
2. 2. Das zweite Element ist die entsprechende Assoziation; die entsprechende Assoziation ist ein Zeiger. In der vorliegenden Erfindung ist die entsprechende Assoziation der zweite Zeiger. Der zweite Zeiger ist das assoziative Objekt des Computersystems von der Künstlichen Intelligenz von dem Cyborg oder dem Android.
3. 3. Das dritte Element ist der entsprechende Gedanke; der entsprechende Gedanke ist ein Zeiger. In der vorliegenden Erfindung ist der entsprechende Gedanke der dritte Zeiger. Der dritte Zeiger ist das abstrakte Objekt des Computersystems von der Künstlichen Intelligenz von dem Cyborg oder dem Android.

The present invention recites three elements of the invention:

1. 1. The first element is the recorded signal response; the recorded signal reaction is a pointer. In the present invention, the recorded signal response is the first pointer. The first pointer is the subjective object of the computer system of the artificial intelligence of the cyborg or the android. With respect to the recorded signal response, the present invention recites two sub-elements of the invention:
   • 1.1. A first sub-element is the response from a sensor; an input from a sensor to a signal is the response from the sensor. The first sub-element is a pointer. The value at the address stored in the pointer is the input from the sensor.
   • 1.2. A second sub-element is the sensor response from one sense; In the sensor reaction, all reactions from all sensors are summarized by one sense. The second sub-element is a pointer. The values at the addresses stored in the pointer are the addresses of all responses from all sensors of one sense. In the recorded signal reaction, all sensor reactions are assembled into a combination of sensor reactions. The recorded signal response is a pointer. The values at the addresses stored in the pointer are the addresses of all of the sensor responses from the combination of the sensor responses.
2. 2. The second element is the corresponding association; the corresponding association is a pointer. In the present invention, the corresponding association is the second pointer. The second pointer is the associative object of the computer system of the artificial intelligence of the cyborg or the android.
3. 3. The third element is the corresponding thought; the corresponding thought is a pointer. In the present invention, the corresponding idea is the third pointer. The third pointer is the abstract object of the computer system from the artificial intelligence of the cyborg or the android.

In the middle of 1A is the hardware deployment diagram of the computer system of the artificial intelligence of a cyborg or an android. On the hardware assembly node 1 of the computer system of the artificial intelligence of a cyborg or an android, a hardware assembly node 2 of the associative subjectivity 4 and a hardware assembly node 3 of the abstract subjectivity 5 are installed. The hardware assembly nodes are implemented as different computers for testing and demo purposes. The peripheral devices as well as the microcontrollers or other chips will be used for production.

Physically, the subjective object (the recorded signal response), the associative object (the corresponding association) and the abstract object (the corresponding thought) are substantiated as the corresponding pointers.

A pointer is usually an area of memory, both physically at one area of a computer's memory that contains some data, and physically at another area of a computer's memory that points to the first area (a pointer where the returned address of the first memory area is stored). (I apologize to the reader for the following, so primitive, example.) In the simplest case, this patent application is about a computer system and a working method of the computer system, whereby the computer system has a working memory, for example, in a completely primitive way, a computer memory Module (a random access memory (RAM) module), for example a computer memory module KVR667D2N5/1G from Kingston.

The subjective object (a substance of a combination of sensor responses) of the computer system of the artificial intelligence of a cyborg or an android is not the input from the sensor or the inputs from the sensors from the sensor groups. The subjective object (the substance of the combination of all sensor reactions) of the computer system of the artificial intelligence of the cyborg or the android is a (first) pointer in which the returned Random Access Memory (RAM) addresses of all sensor reactions of all sensor groups all sense organs are represented (more precisely, at least five sensor groups, the visual sensor group, the auditory sensor group, the olfactory sensor group, the touch sensor group, the taste sensor group, and beyond all sensors groups of all other senses that are equipped with the sensory organs, with at least one sensor group being installed for each sensory organ). The first pointer is referred to as a recorded signal reaction of the computer system from the artificial intelligence of the cyborg or the android.

In other words, at least five RAM addresses are stored in the first pointer, or the first pointer points to at least five RAM addresses.

The associative object (a substance of a further combination of the recorded signal-reaction with a phrase) of the computer system of the artificial intelligence of the cyborg or the android is also a pointer in which the returned Random Access Memory (RAM) addresses are stored. It is the case that in the working method the subjective object, or the first pointer, which is referred to as the subjective object, after it has been completed associatively and also with respect to time, in the Random Access Memory (RAM) module of the computer system Artificial intelligence from the cyborg or the android at runtime as a second pointer, which is stored as the associative object (the substance of the further combination of the recorded signal-response with the phrase). The second pointer is designated as the corresponding association of the computer system by the artificial intelligence of the cyborg or the android.

In other words, the artificial intelligence computer system of the cyborg or android only knows the at least five RAM addresses of the subjective object as the corresponding association.

The abstract object (a substance of a phrase summarized word by word, where the abstract object is provided with the at least one analytical entity and where the sentence structure of the phrase and the relativity at the time are taken into account in the abstract object) of the computer system of the artificial intelligence of the Cyborg or the android is not a word or a semantic expression or a sentence. The abstract object (the substance of the word-by-word phrase) of the computer system of the artificial intelligence of the cyborg or the android is a third pointer to a vocabulary of the computer system. The returned Random Access Memory (RAM) addresses of the memory area in which every word of the computer system's vocabulary is mapped by the artificial intelligence of the cyborg or the android are stored in this third pointer. The third pointer is referred to as the corresponding thought of the computer system of the artificial intelligence of the cyborg or the android.

In other words, the computer system of the artificial intelligence of the cyborg or the android only processes the at least five RAM addresses of the subjective object as the corresponding association, with the processing of the corresponding association only taking place in the one natural language using the corresponding thought .

The screw dowel is known from the English patent specification (GB 22680/11). The screw plug (the “wall plug”) was invented by John Joseph Rawlings in 1911 and marketed under the name Rawlplug. This patent is about a single physical area of a wall. This patent application is, in a completely primitive way, about a single physical area of a computer memory module, a random access memory module. In addition, the individual physical areas of the random access memory module of the present patent application are only accessed, classified and connected to one another using natural language.

The computer system of the artificial intelligence of the cyborg or the android transforms the individual objects (the sensor reactions from all sensor groups, more precisely the reactions from all sensors from all sensor groups) into several different things. The computer system of the artificial intelligence of the cyborg or the android transforms all sensor reactions from all sensor groups of at least five senses equipped with sensory organs, with at least one sensor group being installed for each sensory organ and the senses being a sense of sight, a sense of hearing, a sense of smell, a sense of touch and a sense of taste, into the subjective object of the computer system of the artificial intelligence of the cyborg or the android, then the computer system of the artificial intelligence transforms the subjective object into the associative object of the computer system of the artificial intelligence of the cyborg or the android and then the artificial intelligence computer system transforms the associative object into the abstract object of the artificial intelligence computer system of the cyborg or the android. The subjective object (the recorded signal-response), the associative object (the corresponding association), the abstract object (the corresponding thought) are substantiated as the associated pointers, which are the corresponding pointers to each other. The end results, the pointers, are useful, concrete and tangible. In addition, the hands are as above mentioned, retrieved, classified and connected only through a natural language.

Telepathing is carried out by a simultaneous (occurring at the same time) transfer of all three objects, i.e. the recorded signal reaction, the corresponding association and the corresponding thought, from the computer system of the artificial intelligence from the cyborg or the android to another remote Computer system implemented by an artificial intelligence of a cyborg or an android. All three objects, the recorded signal reaction, the corresponding association and the corresponding thought, of the computer system of the artificial intelligence of the cyborg or the android are transferred to the other remote computer system through an n-sense, for example WLAN, in a sense of by passing objects to a method with a path-by-value mechanism. Both the computer system of the artificial intelligence of the cyborg or the android and the other remote computer system of the artificial intelligence of the cyborg or the android work in real time. Therefore, the real-time timestamps of all three objects, the recorded signal reaction, the corresponding association and the corresponding thought, are different between the two systems. However, the associative object (the corresponding association) is stored based on a time that was determined from the respective sensor reactions of the subjective object. The abstract object (the corresponding thought) is also stored in relation to the time that was determined from the respective sensor reactions of the subjective object. The subjective object (the recorded signal response) is not defined relative to a time. The subjective objects are the same in telepathing on the two systems, the computer system from the artificial intelligence of the cyborg or the android and the other remote computer system from the artificial intelligence of the cyborg or the android. As a result, all three objects, the recorded signal response, the corresponding association and the corresponding thought, are viewed on the two systems during telepathing relative to the same time.

In the 1A and in the 1B The drawings show the working procedure for building the first pointer, the subjective object of the computer system of the artificial intelligence of the cyborg or the android.

In the main memory (the heap (the freely available memory area with dynamic memory requirements)) of the computer system of the artificial intelligence of a cyborg or an android becomes subjective at a runtime, in the sense of the subject (of the computer system of the artificial intelligence of the cyborg or depending on the Android), a first pointer is created. This pointer contains the random access memory (RAM) working memory addresses of a working memory area of all sensor reactions from all sensor groups that represent all sensory organs (more precisely, at least five sensor groups, the visual sensor group as the 1st group, the auditory sensor group as the 2nd group, the olfactory sensor group as the 3rd group, the touch sensor group as the 4th group, the taste sensor group as the 5th group, and in addition all sensor groups from all other senses that are equipped with the sensory organs, with at least one sensor group being installed for each sensory organ).

• der Input von den Sensoren von der Gesichtssinnsensorgruppe wird als die Sensorreaktion auf das Signal, das von den Sensoren der Gesichtssinnsensorgruppe aufgenommen wurde, unter der Datei V:\Cyborg\Sinnesorgane\Gesichtssinn\Sehen1918.see auf dem V:\ Laufwerk gespeichert;
• der Input von den Sensoren von der Gehörsinnsensorgruppe wird als die Sensorreaktion auf das Signal, das von den Sensoren der Gehörsinnsensorgruppe aufgenommen wurde, unter der Datei W:\Cyborg\Sinnesorgane\Gehörsinn\Hören1918.hear auf dem W:\ Laufwerk gespeichert;
• der Input von den Sensoren von der Geruchssinnsensorgruppe wird als die Sensorreaktion auf das Signal, das von den Sensoren der Geruchssinnsensorgruppe aufgenommen wurde, unter der Datei X:\Cyborg\Sinnesorgane\Geruchssinn\Riechen1918.smell auf dem X:\ Laufwerk gespeichert;
• der Input von den Sensoren von der Tastsinnsensorgruppe wird als die Sensorreaktion auf das Signal, das von den Sensoren der Tastsinnsensorgruppe aufgenommen wurde, unter der Datei Y:\Cyborg\Sinnesorgane\Tastsinn\Tasten1918.touch auf dem Y:\ Laufwerk gespeichert;
• der Input von den Sensoren von der Geschmackssinnsensorgruppe wird als die Sensorreaktion auf das Signal, das von den Sensoren der Geschmackssinnsensorgruppe aufgenommen wurde, unter der Datei
• Z:\Cyborg\Sinnesorgane\Geschmackssinn\Schmecken1918.taste auf dem Z:\ Laufwerk gespeichert; (dazu kommen noch alle Inputs von den Sensoren von den n-Sinnsensorgruppen von mehreren n-Sinnen, die n-Sinnsensorgruppe ist die Sensorgruppe von einem n-Sinn, z.B.)
• der Input von den Sensoren von der n-Sinnsensorgruppe wird als die Sensorreaktion auf das das Signal, das von den Sensoren der n-Sinnsensorgruppe aufgenommen wurde, unter der Datei N:\Cyborg\Sinnesorgane\n-Sinn\n-Sinn1918.n-sense auf dem N:\ Laufwerk gespeichert.
• Dann werden die n Pfade gleichzeitig als n Arbeitsspeicheradressen unter einem Zeiger gespeichert.
• (Sinn₁, Sinn₂, Sinn₃, Sinn₄, Sinn_5,..., Sinn_n (zum Beispiel Variablen oder Spaltennamen in einer Tabelle usw.) stehen für n Sinne, die mit den Sinnesorganen ausgerüstet sind, wobei für jedes Sinnesorgan mindestens eine Sensorgruppe eingebaut ist, und die bei dem konkreten Cyborg oder dem Android realisiert sind)
• Sinn₁ = V:\Cyborg\Sinnesorgane\Gesichtssinn\Sehen1918.see
• Sinn₂ = W:\Cyborg\Sinnesorgane\Gehörsinn\Hören1918.hear
• Sinn₃ = X:\Cyborg\Sinnesorgane\Geruchssinn\Riechen1918.smell
• Sinn₄ = Y:\Cyborg\Sinnesorgane\Tastsinn\Tasten1918.touch
• Sinn₅ = Z:\Cyborg\Sinnesorgane\Geschmackssinn\Schmecken1918.taste
• Sinn_n = N:\Cyborg\Sinnesorgane\n-Sinn\n-Sinn1918.n-sense

In individual cases, there will be a term, for example:

• the input from the sensors of the visual sense sensor group is stored as the sensor response to the signal received by the sensors of the visual sense sensor group under the file V:\Cyborg\Sense Organs\Visual Sense\Vision1918.see on the V:\ drive;
• the input from the sensors of the auditory sensor group is stored as the sensor response to the signal received by the sensors of the auditory sensor group under the file W:\Cyborg\Sense Organs\Hearing\Hearing1918.hear on the W:\ drive;
• the input from the sensors of the olfactory sensor group is stored as the sensor response to the signal received by the sensors of the olfactory sensor group under the file X:\Cyborg\Sense Organs\Smell\Smell1918.smell on the X:\ drive;
• the input from the sensors of the tactile sensor group is stored as the sensor response to the signal received by the sensors of the tactile sensor group under the file Y:\Cyborg\Sense Organs\Touch\Keys1918.touch on the Y:\ drive;
• the input from the sensors of the gustatory sensor group is recorded as the sensor response to the signal received by the sensors of the gustatory sensor group under the file
• Z:\Cyborg\Sense Organs\Sense of Taste\Taste1918.key saved to the Z:\ drive; (plus all the inputs from the sensors from the n-sense sensor groups of several n-senses, the n-sense sensor group is the sensor group of one n-sense, e.g.)
• The input from the sensors of the n-sense sensor group is stored as the sensor response to the signal recorded by the sensors of the n-sense sensor group under the file N:\Cyborg\Sense Organs\n-Sinn\n-Sinn1918.n- sense stored on the N:\ drive.
• Then the n paths are simultaneously stored as n memory addresses under a pointer.
• (Sense ₁ , Sense ₂ , Sense ₃ , Sense ₄ , Sense _5, ..., Sense _n (e.g. variables or column names in a table, etc.) represent n senses equipped with the sense organs, where for each sense organ at least one sensor group is installed and is implemented in the specific cyborg or android)
• Sense ₁ = V:\Cyborg\Sense Organs\Sight\Seeing1918.see
• Sense ₂ = W:\Cyborg\Sense Organs\Hearing\Hearing1918.hear
• Sense ₃ = X:\Cyborg\Sense Organs\Smell\Smell1918.smell
• Sense ₄ = Y:\Cyborg\Sense organs\Touch sense\Keys1918.touch
• Sense ₅ = Z:\Cyborg\Sense Organs\Sense of Taste\Taste1918.taste
• Sense _n = N:\Cyborg\Sense organs\n-Sinn\n-Sinn1918.n-sense

In this way, a subjective object is instantiated by the computer system. This means that a subjective object is physically built, where the subjective object contains the combination of all sensor reactions.

Of course, any sensor reactions are subjectively initialized with ZERO. Nevertheless, these sensor reactions are also included in the subjective object. This first pointer, or subjective object, points to the files mentioned above. Physically, however, it becomes subjective, in the sense of depending on the subject, on the cyborg or the android, to a running time in the main memory (the heap (the freely available memory area with dynamic memory requirements)) of the computer system of the artificial intelligence of a cyborg or an android a pointer instantiated. This pointer is realized as an object by the subjective, primitive, system-specific predefined class. (That is, the variables: sense ₁ , sense ₂ , sense ₃ , sense ₄ , sense _5, ..., sense _n for the first pointer are not needed). This pointer is initialized with the Random Access Memory (RAM) working memory addresses of a working memory area of all sensor reactions from all sensor groups that represent all sensory organs. (The path information was given for presentation purposes only. The addressing can also be implemented by the computer system of the artificial intelligence of the cyborg or the android in a different way.)

Each subjective object is unique in relation to all the senses equipped with the sense organs, with at least one sensor group built into each sense organ, and which are realized in the concrete cyborg or the android.

As a result, the subjective object is unique in relation to sense ₁ (the sensory response to the signal from the visual sensor group), sense ₂ (the sensory response to the signal from the auditory sensory group), sense ₃ (the sensory response to the signal from the olfactory sensory group), the sense ₄ (the sensory response to the signal from the tactile sensor group), sense ₅ (the sensory response to the signal from the gustatory sensory group). When Sense ₆ is used, each subjective object becomes unique in terms of Sense ₁ , Sense ₂ , Sense ₃ , Sense ₄ , Sense ₅ , and Sense ₆ .

The subjective object is captured at the same time. The subjective object is defined by the computer system by the artificial intelligence of the cyborg or the android but not relative to a time.

The first pointer, or the subjective object, is temporary. The signal reaction recorded by the computer system from the artificial intelligence of the cyborg or the android (the subjective object) is not stored long-term in the computer system. The recorded signal reaction of the computer system from the artificial intelligence of the cyborg or the android (the subjective object of the computer system of the artificial intelligence of the cyborg or the android) is after the data processing by the subjective object, more precisely after the transformation of the subjective object to the associative object, deleted from the computer system.

In the 1A , in the 1B and in the 1C The drawings show the working procedure for building the second pointer, the associative object of the computer system of the artificial intelligence of the cyborg or the android.

• Sinn₁ = V:\Cyborg\Sinnesorgane\Gesichtssinn\Sehen1918.see
• Sinn₂ = W:\Cyborg\Sinnesorgane\Gehörsinn\Hören1918.hear
• Sinn₃ = X:\Cyborg\Sinnesorgane\Geruchssinn\Riechen1918.smell
• Sinn₄ = Y:\Cyborg\Sinnesorgane\Tastsinn\Tasten1918.touch
• Sinn₅= Z:\Cyborg\Sinnesorgane\Geschmackssinn\Schmecken1918.taste
• Sinn_n = N:\Cyborg\Sinnesorgane\n-Sinn\n-Sinn1918.n-sense

auf die gleiche Weise in dem zweiten Zeiger gespeichert. Die Inhalte von den Dateien werden assoziativ vervollständigt. Zum Beispiel, die assoziative Information: „Liebe deinen Nächsten wie dich selbst“, wird wie „Test4 soll Test4s Nächsten lieben wie Test4 selbst“ vervollständigt. Das assoziative Objekt wird bezogen auf eine Zeit, die aus den Sensorreaktionen von den Sensorgruppen des subjektiven Objektes ermittelt wurde, gespeichert. Die Relativität zu der Zeit kann auch durch ein Zeitfenster, zum Beispiel sechs Arbeitstage und ein Feiertag, implementiert werden und sie wird bei der Instanziierung von dem assoziativen Objekt, zum Beispiel: „Sonntag, Vormittag“, miterfasst.In its working method, in a natural language, at runtime the subjective object, or this pointer, which is referred to as the subjective object and which points to all sensor reactions from all sensor groups that represent all sensory organs, becomes associative, in the sense of having associations by the subject (by the computer system, by the artificial intelligence, by the cyborg or the android), and completed relatively, but not clearly, at a time. This completed or supplemented first pointer is stored in another, the second pointer. In this way, the associative object is instantiated by the computer system, the associative object containing a further combination of all sensor responses with expanded associative information. In individual cases, the paths stored in the first pointer are:

• Sense ₁ = V:\Cyborg\Sense Organs\Sight\Seeing1918.see
• Sense ₂ = W:\Cyborg\Sense Organs\Hearing\Hearing1918.hear
• Sense ₃ = X:\Cyborg\Sense Organs\Smell\Smell1918.smell
• Sense ₄ = Y:\Cyborg\Sense organs\Touch sense\Keys1918.touch
• Sense ₅ = Z:\Cyborg\Sense Organs\Sense of Taste\Taste1918.taste
• Sense _n = N:\Cyborg\Sense organs\n-Sinn\n-Sinn1918.n-sense

stored in the second pointer in the same way. The contents of the files are completed associatively. For example, the associative information: “Love your neighbor as yourself” is completed as “Test4 should love Test4's neighbor as Test4 himself”. The associative object is stored based on a time that was determined from the sensor reactions of the sensor groups of the subjective object. The relativity of time can also be implemented by a time window, for example six working days and a holiday, and it is recorded during instantiation by the associative object, for example: “Sunday, morning”.

There is then the following information together: “Test4 should love Test4’s neighbor as Test4 himself, Sunday morning”.

Physically, however, another pointer is instantiated by the artificial intelligence of a cyborg or an android at runtime in the main memory (the heap (the freely available memory area with dynamic memory requirements)) of the computer system. This second pointer is also implemented as an object by the primitive, system-specific predefined class. (That is, the variables: sense ₁ , sense ₂ , sense ₃ , sense ₄ , sense ₅ , ..., sense _n for the second pointer are not needed).

This second pointer is initialized with the Random Access Memory (RAM) working memory addresses of a working memory area of all sensor reactions from all sensor groups that represent all sensory organs. (The path information was given for presentation purposes only. The addressing can also be implemented by the computer system of the artificial intelligence of the cyborg or the android in a different way.)

This second pointer must be able to be expanded associatively, in the sense with associations from the subject (from the computer system, from the artificial intelligence, from the cyborg or the android), and also relative to a time. The associative information is expanded with some abstract information through cyborg interpreters. An extended associative information is built, for example, with “test4 should love test4’s neighbor like test4 itself, Sunday, morning”. (Unfortunately, upper and lower case sensitivity is not yet taken into account in the extended associative information from the associative object.)

The extended associative information can only be viewed as a signal, a label or a name. (The best way to illustrate this is with a very primitive example. When you teach a dog the command “down,” the dog’s brain stores the subjective information about its location with the associative signal “down.”)

With this associative object, or with the second pointer, a corresponding association in the computer system is physically substantiated by the artificial intelligence of a cyborg or an android, in the sense of forming a substance from the corresponding association.

When the associative object is instantiated, the first pointer is deleted or set to zero. This frees the memory from this pointer. From this point on, the memory pointed to by the first pointer will be managed by the second pointer.

In the 1D The drawings show the working procedure for assembling the corresponding association of the computer system from the artificial intelligence of the cyborg or the android (the associative object).

When building an associative object corresponding to the subjective object, the attributes of the subjective object, the sense1, the sense2, the sense3, the sense4, the sense5 and the n-sense6, are adopted by the associative object and the associative object is additionally included supplemented with other attributes. Accordingly, the associative object has the following attributes, sense1, sense2, sense3, sense4, sense5 and n-sense6.

The attribute, the signal phrase (Signal_Phrase), is another attribute of the associative object. The signal phrase is determined by one or more senses, that is, the signal phrase can refer to the sense or several senses of the signal phrase. By the sense of the signal phrase is meant the sense or senses from which the signal phrase was determined, that is, the sense1, the sense2, the sense3, the sense4, the sense5 or, for example, the n -Sinn6. The attribute, the signal phrase, is responsible for the uniqueness of the associative object. An additional attribute of the associative object, the sense occupancy (sense_occupancy), is also responsible for the uniqueness of the associative object. The sense occupancy shows the sense occupancy of the senses from which the signal phrase was determined, or in the sense occupancy the sense occupancy of the senses from which the signal phrase was determined is stored. The sense occupancy is simply a sense occupancy assignment of the senses from which the signal phrase was determined.

The associative object is clearly constructed according to a signal phrase and a sense assignment of at least one sense.

The following must be taken into account.

In the sense1, the sense2, the sense3, the sense4, the sense5 and the sense6, which are equipped with the sense organs, with at least one sensor group being installed for each sense organ, and which are in the computer system by the artificial intelligence of the specific cyborg or Realized in the Android, an associative object can contain three and sixty sense assignments for the same signal phrase. This means that for the same signal phrase in an associative object from the artificial intelligence computer system, if six senses are implemented in the computer system, three and sixty different sense assignments can exist.

With the same senses, several signal phrases can be stored for the same sense assignment for an associative object. This means that several different signal phrases can exist for a sense assignment and the same senses in an associative object from the artificial intelligence computer system.

A sense assignment and a signal phrase are unique for an associative object. This means that a sensory assignment and a signal phrase are only stored together once for an associative object by the artificial intelligence computer system. This also means that an existing old associative object is automatically deleted by the artificial intelligence computer system upon receiving a new associative object that contains the same signal phrase and the same sense assignment. More specifically, the existing old associative object is automatically replaced or overwritten with the obtained new associative object containing the same signal phrase detected by the same sense or senses.

This further combination of the recorded signal reaction of the computer system of the artificial intelligence of the cyborg or the android with the signal phrase forms a corresponding association of the computer system of the artificial intelligence of the cyborg or the android (the associative object). The corresponding association of the computer system of the artificial intelligence of the cyborg or the android (the associative object) is treated relative to a time. After the work of the cyborg interpreter, the signal phrase is completed in the one natural language and it is provided with a timestamp in the one natural language. More specifically, firstly, the signal phrase in the one natural language is associatively completed in relation to the computer system by the artificial intelligence of the cyborg or the android, with the computer system operating in the one natural language, secondly, this signal phrase is completed in the completes a natural language relative to a time, with the computer system operating in the one natural language. The time is determined from the sensor reactions of the subjective object or from the reactions from the sensors. This means that the time is determined from the recorded signal reaction of the computer system by the artificial intelligence of the cyborg or the android. Relativity at time is defined in a natural language. The corresponding association of the computer system by the artificial intelligence of the cyborg or the android (the associative object) is treated relatively, but not clearly, at a time.

The corresponding associations of the computer system by the artificial intelligence of the cyborg or the android (the associative objects) are experienced by the computer system.

The computer system's corresponding associations of the artificial intelligence of the cyborg or the android (the associative object) are clearly stored in the computer system for the long term.

In the 1D The drawings show the working procedure for realizing the uniqueness of the sense occupancy of the associative object of the computer system of the artificial intelligence of the cyborg or the android through an integrated sense occupancy.

In the computer system of the artificial intelligence of the cyborg or the android, shown in the 1D of the drawings, is the associative object in the realization of the uniqueness of the associative object according to the signal phrase, where the signal phrase refers to the sense or several senses of the signal phrase, according to the sense assignment and the signal -phrase unique.

The associative object includes as attributes the sense1, the sense2, the sense3, the sense4, the sense5, the n-sense6, the sense assignment (sense_occupancy) and the signal phrase (signal_phrase).

The attribute of the associative object, the sense assignment, is an interface. The sense assignment (the sense_occupancy) is integrated directly into the signal phrase (in the signal_phrase). The sense assignment is realized, for example, with a prefix to the signal phrase. In the prefix in the binary system, the value at the position corresponding to the sense of the prefix is set to the value 1 if the signal phrase was determined from the sense, or set to the value 0 if the signal phrase was not determined from the meaning was determined. The prefix can be realized in the binary system or in the decimal system with the corresponding decimal system value to the binary system value in a conversion from the binary number to the corresponding decimal number. As a result, an associative object (a corresponding association) with the sense assignment "111110" and the signal phrase "Internal Guideline1918 2005.11.07 07:25:19", for example, as an associative object with either the signal phrase "011111 _InternalDirective1918 2005.11.07 07:25:19” or with the signal phrase “31_InternalDirective1918 2005.11.07 07:25:19”. In this case one does not treat the sense assignment separately as an attribute of the associative object. In contrast, the sense assignment is integrated directly with a prefix in the signal phrase and processed by the prefix in the signal phrase. In this case, the sense occupancy is an integrated sense occupancy.

In the 1E The drawings show the working procedure for realizing the uniqueness of the sense occupancy of the associative object of the computer system of the artificial intelligence of the cyborg or the android through the integrated sense occupancy, which is processed using an interface.

In the 1E In the drawings, the associative object (the corresponding association) is shown with the signal phrase “03_Association_1007 Friday, Evening”. When converting the prefix from the decimal number to the corresponding binary number, the associative object can be represented as an associative object with the signal phrase "000011_Association_1007 Friday, Evening".

The associative object is processed as an associative object with the sense assignment “03” and the signal phrase “Association_1007 Friday, evening”. When converting the prefix from the decimal number to the corresponding binary number, the associative object is processed with the sense assignment "000011" and the signal phrase "Association_1007 Friday, evening".

This therefore means that the associative object with the signal phrase “03_Association_1007 Friday, evening” was determined by the Sinn1 “Sinn1.see” and the Sinn2 “Sinn2.hear”. This also means that the associative object with the signal phrase “03_Association_1007 Friday, Evening” was not determined by the Sinn4 “Sinn4.touch” and the Sinn5 “Sinn5.taste”.

This ensures that the sensory assignment integrated in the signal phrase by the associative object is processed by the computer system of the artificial intelligence of the cyborg or the android using the interface.

In the 1F of the drawings is the working procedure for taking responsibility for the clarity of the sense assignment of the associative object of the computer system of the artificial intelligence of the cyborg or the android of a specific memory area of the computer system of the artificial intelligence of the cyborg or the android shown.

In another version, the responsibility for clarity lies with the Sense-Bele taken over from a specific memory area. In the 1F of the drawings are reserved in the working memory of the computer system by the artificial intelligence of the cyborg or the android three and sixty working memory areas so that in each working memory area the associative objects with the attributes, the sense1, the sense2, the sense3, the sense4, the sense5 and the n-sense6 can be clearly stored in relation to the specific sense occupancy.

Sense1 stands for the sensor reaction to the signal from the visual sensor group, Sense2 stands for the sensor reaction to the signal from the auditory sensor group, Sense3 stands for the sensor reaction to the signal from the olfactory sensor group, Sense4 stands for the sensor reaction to the signal from the touch sensor group, Sense5 stands for the sensor response to the signal from the taste sensor group and the n-sense6 stands for the sensor response to the signal from the n-sense sensor group.

When the artificial intelligence of the cyborg or the android assumes responsibility for the uniqueness of the sense assignment of the associative object of the computer system of the cyborg or the android of a specific memory area of the computer system of the artificial intelligence of the cyborg or the android, the associative object becomes unique built according to the signal phrase and the specific working memory area in which the associative object is stored and which is responsible for the uniqueness of the associative object in relation to a specific sensory assignment.

This means that in the first working memory area (1) only the associative objects for which the sense assignment was assigned to Sense1, or only the associative objects with the signal phrase that was determined by Sense1, are stored. This means that in the third and sixtieth working memory area (63) only the associative objects for which the sense assignment was assigned with the sense1, the sense2, the sense3, the sense4, the sense5 and the n-sense6, or only the associative objects are stored with the signal phrase determined by the sense1, the sense2, the sense3, the sense4, the sense5 and the n-sense6.

This also means that, for example, in the third working memory area (3) only the associative objects for which the sense assignment was assigned to Sense1 and Sense2, or only the associative objects with the signal phrase that was assigned to Sense1 and the sense2 was determined. In this working memory area, for example, the associative object (the corresponding association) is stored with the signal phrase “03_Association_1007 Friday, evening”, which was determined by the Sinn1 “Sinn1.see” and the Sinn2 “Sinn2.hear”, but without a prefix, This means that the associative object is only saved with the signal phrase “Association_1007 Friday, Evening”.

The associative object of the computer system is a pointer.

The values at the addresses stored in the pointer under sense1, sense2, sense3, sense4, sense5, and n-sense6 are the addresses of all of the sensor responses from the combination of the sensor responses. Physically, the addresses of the sensor reactions are stored in a specific working memory area, which is responsible for the uniqueness of the associative object in relation to a specific sensory occupancy.

The variables, or for example the column names in a table, such as Sense1, Sense2, Sense3, Sense4, Sense5, n-Sinn6, Sense_Occupancy and Signal_Phrase are not needed for the associative object, as mentioned above.

Since the responsibility for the uniqueness of the sense occupancy is taken over by a specific working memory area, in this case no further attribute for the uniqueness of the associative object is needed for the uniqueness of the sense occupancy. In this case, for example, there is no prefix built into the signal phrase.

This means that in this case the actual signal phrase is stored under the signal phrase. In this case, the interface for the uniqueness of the sense assignment of the associative object is implemented by storing the associative object in the specific working memory area in which all associative objects are only stored with the same sense assignment. Consequently, in order to be able to uniquely store the associative objects only with the sense1, the sense2, the sense3, the sense4 and the sense5 as attributes in relation to the specific sense occupancy in each working memory area of the specific, reserved working memory areas, are in the working memory of One and thirty memory areas are reserved for the computer system by the artificial intelligence of the cyborg or the android.

In the 1G of the drawings is the working procedure for building the third pointer, of the abstract object of the computer system by the artificial intelligence of the cyborg or the android.

When the cyborg interpreter works in one natural language, the phrase (Signal_Phrase) containing the associative object is parsed into individual words. Each parsed word of the phrase is processed, completed, etc. by the computer system of the artificial intelligence of the cyborg or the android in the one natural language. Each parsed word is defined with the part of speech, or as the part of the sentence. Then each word of the phrase is analyzed analytically and abstractly in terms of class classification, polymorphism, unit of measurement, intonation. The computer system then stores the phrase as often as the words in the phrase. This means that each storage corresponds to one word of the phrase. All these saves are processed. All of these memories are converted into a corresponding thought (the abstract object) of the computer system by the artificial intelligence.

Each of the storages is given an analytical essence. The memories with the analytical beings are completed into a word-by-word phrase. This word-by-word phrase, which has been classified according to an action in a natural language, with at least one analytical entity, with regard to the sentence structure of the phrase, based on the time that was determined from the respective sensor reactions of the subjective object, is in Computer system clearly stored in the time window for thinking. The time is determined from the sensor reactions of the subjective object or from the reactions from the sensors. This means that the time is determined from the recorded signal reaction of the computer system by the artificial intelligence of the cyborg or the android. Relativity at time is defined in a natural language. The corresponding thought of the computer system of the artificial intelligence of the cyborg or the android (the abstract object) is treated relatively, but not clearly, at a time. The computer system of the artificial intelligence of the cyborg or the android analyzes analytically and abstractly the phrase in one natural language in relation to the other associations and thoughts of the computer system of the artificial intelligence of the cyborg or the android, with at least one corresponding thought corresponds to a corresponding association, whereby the corresponding thought corresponds to the corresponding association in the one natural language. Such a word-by-word phrase presents an abstract object of the computer system. With the abstract object, a corresponding thought of the computer system is physically substantiated by the artificial intelligence of the cyborg or the android, in the true sense of building a substance from the corresponding thought.

This means that an abstract object is physically constructed, whereby the abstract object contains the phrase summarized word by word, whereby the abstract object is provided with the at least one analytical entity, whereby in the abstract object the sentence structure of the phrase and the relativity to it Time are taken into account, and the abstract object arises from the conversion of the associative object of the computer system by the artificial intelligence from the cyborg or the android into the abstract object.

The computer system of the artificial intelligence of the cyborg or the android operates with the corresponding thought in its work during the time window for thinking in a work process.

The working procedure is based on a natural language and the working procedure uses internal guidelines of an abstract subjectivity of the computer system. The working process is driven by the computer system by the artificial intelligence of the cyborg or the android itself. In the working process, the computer system of the artificial intelligence of the cyborg or the android processes the abstract objects, or classes of the abstract objects, in a non-continuous treatment mode, that is, discretely. The handling of the abstract objects, or the classes of the objects, is triggered by the fact that the abstract object is compared with the other abstract objects. A decision as to whether an abstract object is to be treated and how the abstract object is to be treated within the framework of a treatment scenario is made by the artificial intelligence according to a classification tree of the computer system. A type of treatment is determined by artificial intelligence from a functional polymorphism of the computer system, or it can be provided directly. The abstract objects and the classes of the abstract objects are subjectively classified in the one natural language by the computer system by the artificial intelligence itself. More than ten internal guidelines can be used in the working procedure.

The abstract object can always be found by the computer system. After the corresponding abstract object, the ent becomes speaking associative object found. The subjective object is extracted from the corresponding associative object.

The subjective object can be returned.

The abstract object of the computer system of the artificial intelligence of the cyborg or the android, the corresponding thought of the computer system of the artificial intelligence of the cyborg or the android, is deleted from the time window for thinking of the computer system after the expiration of time.

Physically, in its working process in the main memory of the computer system, the artificial intelligence of a cyborg or an android becomes abstract at runtime in a natural language, in the sense of the abstract information in a natural language in relation to the associative information in an associative object of the computer system stored by the artificial intelligence of the cyborg or the android, analytically, in the sense of the work of the cyborg interpreter, a third pointer is created. This third pointer points to the vocabulary of the computer system of the artificial intelligence of the cyborg or the android, or among the object variables (that is, among the vocabulary addresses of the object variable names) of this third pointer, which in themselves already contain analytical and some abstract information as well as belonging to the vocabulary (physical), the vocabulary addresses of the words that form the associative information are stored.

First, another random access memory (RAM) memory area in which every word of a vocabulary of the computer system is stored by the artificial intelligence of the cyborg or the android is located. Then each parsed word of the signal phrase of the associative object is mapped with a similar word of the computer system's vocabulary by the artificial intelligence of the cyborg or the android. This is a step from mapping each parsed word of the signal phrase of the associative object with a similar word of the vocabulary of the computer system of the artificial intelligence of the cyborg or the android. During the mapping, each parsed word in the signal phrase of the associative object is mapped with an identical word in the vocabulary.

• T: \Wortschatz\wer. txt; T:\Wortschatz\Test4.txt;
• T:\Wortschatz\soll.txt; T:\Wortschatz\soll.txt;
• T:\Wortschatz\wessen.txt; T:\Wortschatz\Test4s.txt;
• T:\Wortschatz\welchen.txt; T:\Wortschatz\Nächsten.txt;
• T:\Wortschatz\tun.txt; T:\Wortschatz\lieben.txt;
• T:\Wortschatz\wie.txt; T:\Wortschatz\wie.txt;
• T: \Wortschatz\wen. txt; T:\Wortschatz\T est4 .txt;
• T:\Wortschatz\wessen.txt; T:\Wortschatz\selbst.txt;
• T:\Wortschatz\echter.txt T:\Wortschatz\Zeitstempel.txt; T:\Wortschatz\Sonntag.txt,
• T:\Wortschatz\Vormittag.txt.

After the mapping step, after analytical work, a third pointer to a combination of words from the vocabulary of the computer system is physically built, with a random access memory (RAM) working memory address of the further random access memory (RAM) working memory area of each mapped word of the vocabulary together with a Random Access Memory (RAM) working memory address of the word, which is an analytical entity after analytical work and which contains an abstract meaning of the parsed word in a context to the whole associative object, is stored, whereby the depicted word of the vocabulary is the word from the step of the mapping and is equal to the parsed word of the signal phrase of the associative object, the combination of words including the analytical entities and the mapped words, the computer system working in the one natural language, and the third pointer being unique to the combination of words. So after the analytical work, the third pointer is physically built:

• T: \vocabulary\who. txt; T:\Vocabulary\Test4.txt;
• T:\Vocabulary\should.txt; T:\Vocabulary\should.txt;
• T:\Vocabulary\wessen.txt; T:\Vocabulary\Test4s.txt;
• T:\vocabulary\which.txt; T:\Vocabulary\Next.txt;
• T:\Vocabulary\tun.txt; T:\Vocabulary\love.txt;
• T:\Vocabulary\like.txt; T:\Vocabulary\like.txt;
• T: \vocabulary\wen. txt; T:\Vocabulary\T est4 .txt;
• T:\Vocabulary\wessen.txt; T:\vocabulary\self.txt;
• T:\Vocabulary\real.txt T:\Vocabulary\Timestamp.txt; T:\Vocabulary\Sunday.txt,
• T:\Vocabulary\Morning.txt.

The order of the sentence members, or the sentence position, or other attributes of the extended information from the associative object, such as intonation, are also stored in the abstract object.

The abstract object is stored based on a time that was determined from the sensor reactions of the sensor groups of the subjective object. Relativity to time can also be implemented through a time window, for example six working days and a holiday. The abstract object is uniquely based on a complete combination of words from a vocabulary, where the complete combination of words contains both the analytical words, i.e. at least one analytical entity, and the abstract words that are represented by the signal phrase of the associative object in the mapping step are included.

The abstract object can only be unique according to a complete word combination of a vocabulary of abstract words that are mapped by the signal phrase of the associative object in the mapping step.

Physically, however, a third pointer is instantiated by the artificial intelligence of a cyborg or an android at runtime in the main memory (the heap (the freely available memory area with dynamic memory requirements)) of the computer system. This third pointer is implemented as an object by the real, system-specific object-oriented class. This means that the addresses of the values of the data elements are stored in the object variables. (The path information was given for presentation purposes only. The addressing can also be implemented by the computer system of the artificial intelligence of the cyborg or the android in a different way.)

In this way, the abstract object is instantiated and initialized by the computer system, or its object variables are instantiated and initialized. Only when and really only when the abstract object is initialized does it contain the abstract information from the entire associative object or from the entire subjective object.

With this abstract object, or with the third pointer, a corresponding thought is physically substantiated by the computer system of the artificial intelligence of a cyborg or an android, in the sense of forming a substance from the corresponding thought.

This third pointer does not point to the computer system's associative object. It is the job of the cyborg interpreter to connect, reference and synchronize the two pointers, the third and the second. The cyborg interpreter works in a natural language, e.g. German, English, etc.

In the 1A The drawings show the working process of the computer system of the artificial intelligence of the cyborg or the android in another (or in several) natural language(s).

The computer system uses a word in another natural language as a reference to a word in the first native natural language for the working method in the first native natural language.

In order to work in another natural language, the computer system needs the abstract objects in the other natural language.

Accordingly, for the operation method in another natural language, the computer system uses the references (i.e. the abstract objects in the other natural language) in the other natural language to the abstract objects in the first, originally "native" natural language. The references are physically the aliases in another natural language to the abstract object in the first, originally “native,” natural language.

The same logic is used for the working procedures in several natural languages. Could you please consider that the reference in another natural language from the abstract object, or third pointer, to the associative object, or second pointer, cannot be accessed, even with the help of the cyborg Interpreter, if the cyborg interpreter works in a language, has. For the first time, the abstract object in the first, originally “native,” natural language must be referenced by the reference in the other natural language. This means that for the first time the corresponding idea in the first, originally “native” natural language must be determined from the reference in the other natural language. After that, when the cyborg interpreter works in a language, the cyborg interpreter can find the associative object from the abstract object. “Test4 shall love Test4’s neighbor as Test4 herself” is a reference, an alias name, in the English language to the abstract object of the class “Love” in the German language: “Test4 shall love Test4’s neighbor as Test4 herself”.

• weil das subjektive Objekt (die aufgenommene Signal-Reaktion) nicht relativ zu einer Zeit definiert wird, und weil das assoziative Objekt (die entsprechende Assoziation) aber relativ zu einer Zeit, die aus den jeweiligen Sensorreaktionen des subjektiven Objektes in der einen natürlichen Sprache ermittelt wurde, definiert wird, und auch weil das abstrakte Objekt (der entsprechende Gedanke) auch aber relativ zu der Zeit, die aus den jeweiligen Sensorreaktionen des subjektiven Objektes in der einen natürlichen Sprache ermittelt wurde, definiert wird, und, darüber hinaus,
• weil beim Bauen des assoziativen Objektes (der entsprechenden Assoziation) die aufgenommene Signal-Reaktion in der einen natürlichen Sprache assoziativ im Sinne mit den entsprechenden Assoziationen von dem Subjekt (von dem Computersystem von der Künstlichen Intelligenz von dem Cyborg oder dem Android) vervollständigt ist, und weil beim Bauen des abstraktes Objektes (des entsprechenden Gedanken) das assoziative Objekt in das abstrakte Objekt in der einen natürlichen Sprache analytisch und abstrakt in Bezug auf das Computersystem von der Künstlichen Intelligenz von dem Cyborg oder dem Android transformiert ist, und auch, zum Beispiel,
• weil die entsprechenden Assoziationen in der anderen natürlichen Sprache in dem Computersystem von der Künstlichen Intelligenz von dem Cyborg oder dem Android vorhanden bzw. nicht gelöscht werden müssen, usw.

Could you please consider that both objects, the corresponding association and the corresponding thought, are substantiated in the same one natural language, and that the cyborg interpreter for the first natural language working procedure works in the same first natural language. This means that if the two objects, the corresponding association and the corresponding thought, were substantiated in the second natural language, the cyborg interpreter for the second natural language working procedure should work in the same second natural language. This means that the cyborg interpreter in a solution for the working method of the computer system from the artificial intelligence of the cyborg or the android in another (or in several) natural language(s) in the second (or in several) natural language(s) must work. This also means that the cyborg interpreter must also work in parallel in the second (or in several) natural languages when solving the problem. This is a complicated solution to the working procedure of the computer system of the artificial intelligence of the cyborg or the android in another natural language. In practice, this complicated solution is difficult to implement, for example:

• because the subjective object (the recorded signal reaction) is not defined relative to a time, and because the associative object (the corresponding association) is defined relative to a time, which was determined from the respective sensor reactions of the subjective object in the one natural language , is defined, and also because the abstract object (the corresponding thought) is also defined relative to the time that was determined from the respective sensor reactions of the subjective object in the one natural language, and, moreover,
• because when building the associative object (the corresponding association), the signal reaction recorded in the one natural language is associative in the sense that it is completed with the corresponding associations by the subject (by the computer system, by the artificial intelligence, by the cyborg or the android), and because in building the abstract object (the corresponding thought) the associative object is transformed into the abstract object in the one natural language analytically and abstractly in relation to the computer system by the artificial intelligence of the cyborg or the android, and also, for example,
• because the corresponding associations in the other natural language in the computer system must be present or not deleted by the artificial intelligence of the cyborg or the android, etc.

That is why the computer system uses a reference in another natural language to the abstract object (the corresponding thought) in a first natural language for a working procedure in the other natural language as a simple solution to the working procedure of the computer system from the artificial intelligence used by the cyborg or the android in another (or multiple) natural language(s). In the simple solution, the cyborg interpreter only works in one natural language.

The abstract objects are classified in a natural language in a way of thinking from the class-based model of OOP. (In this way, the classes of the computer system are also classified by the artificial intelligence of the cyborg or the android itself in a natural language.)

Through this third pointer, or the abstract object, you can access the member variables or manipulate them with the member variables. This means that you can access the data elements of a class through this third pointer, or the abstract object, or you can manipulate the data elements of a class. The data elements, as I said, are implemented, or instantiated and initialized, in a natural language. These abstract data members of a class, which are instantiated and initialized at each abstract object, are described below.

The member variables of a class, or the data elements, the member functions of a class that manipulate the member variables, the constants, or these member variables under which a member variable value, a function, a constant is stored, substantiate the corresponding idea analytically, you could please consider this, in the spirit of the work of the cyborg interpreter.

According to 2 of the drawings is the pointer-oriented object detection method for the tangible, material-like treatment of information from the computer system of the artificial intelligence of the cyborg or the android, whereby access by the computer system of the artificial intelligence of the cyborg or the android to data elements of a class in which takes place in natural language.

For this purpose, member variables, member functions and constants are defined in natural language. (In the 2 - 4 The object means an abstract object of the computer system of the artificial intelligence of the cyborg or the android, or the third pointer.)

The member variables of a class of the abstract object, or data elements, are classified by the abstract objects of the classes in which words that belong to a question word in the one natural language in which the computer system of the artificial intelligence of the cyborg or the Android works in a time window at a time, more precisely through the question word that was asked about a part of speech or a sentence member.

The computer system of the artificial intelligence of the cyborg or the android inter pretenses an abstract object of the class “Love”: “Test4 should love Test4’s neighbor like Test4 himself”. (Test4 is a person.)

• Die Klasse „Welcher“ ist von der Klasse „Fragewort“ abgeleitet.
• Die Klasse „Welcher“ ist ein Fragewort zu einem Objekt, das als ein substantiviertes Adjektiv, das eine Person bezeichnet (das belebte Adjektiv), dargestellt wurde. (Das Objekt wurde im Sinne eines Satzgliedes definiert). (Denken Sie bitte daran, dass die Zeichenketten „Welcher“ oder „welchen“ mit Hilfe der Objekte der Klassen „Ableiten“, „Sein“, „Bezeichnen“, „Darstellen“ definiert wurden).
• Als Schlussfolgerung wird unter der Variable „welchen“, einem Objekt der Klasse „Welcher“, in dem abstrakten Objekt der Klasse „Lieben“: „Test4 soll Test4s Nächsten lieben wie Test4 selbst“, der Wert „Nächsten“ gespeichert.

The computer system of the artificial intelligence of the cyborg or the android has the following abstract information:

• The “Which” class is derived from the “Question Word” class.
• The class “Which” is a question word about an object that has been represented as a noun adjective denoting a person (the animate adjective). (The object was defined in the sense of a member of the sentence). (Please remember that the strings "Which" or "Which" were defined using the objects of the classes "Derive", "Be", "Denote", "Represent").
• As a conclusion, the value “neighbor” is stored under the variable “which”, an object of the class “Which”, in the abstract object of the class “Love”: “Test4 should love Test4’s neighbor like Test4 himself”.

• Der zusammengesetzte Satz: „Die Klasse „Welcher“ ist ein Fragewort zu einem Objekt, das als ein substantiviertes Adjektiv, das eine Person bezeichnet (das belebte Adjektiv), dargestellt wurde", wurde von dem Computersystem von der Künstlichen Intelligenz von einem Cyborg oder einem Android beim Interpretieren von dem abstrakten Objekt auf vier einfache Sätze mit dem gleichen echten Zeitstempel zerlegt:
  • Die Klasse „Welcher“ ist ein Fragewort zu einem Objekt.
  • Objekt wurde als ein substantiviertes Adjektiv dargestellt.
  • Adjektiv bezeichnet eine Person.
  • Adjektiv ist ein belebtes Adjektiv.
  • Als ein anderes abstraktes Objekt wird ein Objekt der Klasse „Stehlen“: „Test4 soll nicht stehlen“, interpretiert. (Test4 ist eine Person.)
  • Das Computersystem von der Künstlichen Intelligenz von dem Cyborg oder dem Android verfügt über die folgenden abstrakten Informationen.
  • Die Klasse „Wer“ ist von der Klasse „Fragewort“ abgeleitet.
  • Die Klasse „Wer“ ist ein Fragewort zu einem Subjekt, das als ein Substantiv, das eine Person bezeichnet (das belebte Substantiv), dargestellt wurde. (Das Subjekt wurde im Sinne eines
  • Satzgliedes definiert). (Denken Sie bitte daran, dass die Zeichenketten „Wer“ oder „wer“ mit Hilfe der Objekte der Klassen „Ableiten“, „Sein“, „Bezeichnen“, „Darstellen“ definiert wurden).
  • Als Schlussfolgerung wird unter der Variable „wer“, einem Objekt der Klasse „Wer“, in dem abstrakten Objekt der Klasse „Stehlen“: „Test4 soll nicht stehlen“, der Wert „Test4“ gespeichert.

The compound sentences, a sentence connection or a sentence structure, are interpreted by the computer system by the artificial intelligence of a cyborg or an android from the abstract object to the simple sentences (partial sentences, or main and subordinate clauses) with the same real one Timestamp decomposed, e.g.:

• The compound sentence: "The class "Which" is a question word about an object that was represented as a noun adjective denoting a person (the animate adjective)" was created by the computer system by the artificial intelligence of a cyborg or a When interpreting the abstract object, Android decomposes it into four simple sentences with the same real timestamp:
  • The class “Which” is a question word about an object.
  • Object was presented as a noun adjective.
  • Adjective describes a person.
  • Adjective is an animate adjective.
  • An object of the class “Stealing”: “Test4 shall not steal” is interpreted as another abstract object. (Test4 is a person.)
  • The computer system of the artificial intelligence of the cyborg or the android has the following abstract information.
  • The “Who” class is derived from the “Question Word” class.
  • The class “Who” is a question word about a subject that has been represented as a noun denoting a person (the animate noun). (The subject was in the sense of a
  • sentence member defined). (Please remember that the strings "who" or "who" were defined using the objects of the classes "Derive", "Be", "Denote", "Represent").
  • As a conclusion, the value “Test4” is stored under the variable “who”, an object of the class “Who”, in the abstract object of the class “Stealing”: “Test4 shall not steal”.

• Der zusammengesetzte Satz: „Die Klasse „Wer“ ist ein Fragewort zu einem Subjekt, das als ein Substantiv, das eine Person bezeichnet (das belebte Substantiv), dargestellt wurde", wurde von dem Computersystem von der Künstlichen Intelligenz von einem Cyborg oder einem Android beim Interpretieren von dem abstrakten Objekt auf vier einfache Sätze mit dem gleichen echten Zeitstempel zerlegt:
  • Die Klasse „Wer“ ist ein Fragewort zu einem Subjekt.
  • Subjekt wurde als ein Substantiv dargestellt.
  • Substantiv bezeichnet eine Person.
  • Substantiv ist ein belebtes Substantiv.

The compound sentences, a sentence connection or a sentence structure, are interpreted by the computer system by the artificial intelligence of a cyborg or an android from the abstract object to the simple sentences (partial sentences, or main and subordinate clauses) with the same real one Timestamp decomposed, e.g.:

• The compound sentence: "The class "Who" is a question word to a subject represented as a noun denoting a person (the animate noun)" was created by the computer system by the artificial intelligence of a cyborg or an android When interpreting the abstract object is broken down into four simple sentences with the same real timestamp:
  • The class “Who” is a question word about a subject.
  • Subject was represented as a noun.
  • Noun denotes a person.
  • Noun is an animate noun.

The member functions of a class of the abstract object that manipulate with the member variables are with the abstract objects of the classes in which words are classified, which lead to a word root of a verb of the one natural language in which the computer system of the artificial Intelligence belonging to the cyborg or the android in the time window at the time is initialized.

These member functions are stored (i.e., instantiated) under a member variable for the member function, which presents an abstract object of a class that classifies the words belonging to the root of the verb “do”.

(Please remember that, for example, the strings "The""memberfunctions""of""a""class""of""the""abstract""object","the""to""a""root""of “ “a” “verb”, “element variable” “for” “the” “member function” or “the” “to” “the” “root of the word” “of” “the” “verb” “Do” with the help of the objects of the “Manipulate” classes ", "Classify", "Work", "Own", "Initialize", "Store", "Instantiate", etc.).

That is, under the variable “do,” an object of the class that classifies the words belonging to the root of a verb “do,” in the abstract object of the class “love”: “Test4 shall love Test4's neighbor as Test4 does itself", the value "love", an object of the class that classifies the words belonging to the root of a verb "love", was stored.

The auxiliary verbs, the modal verbs, the prepositions, the conjunctions, etc. are to be viewed as constants. They are written in the one natural language in which the computer system of the artificial intelligence of the cyborg or the android works in the time window at the time, each under an element variable for the constants, which is realized with the help of the abstract object of the class which classifies the auxiliary verb, modal verb, preposition, conjunction, etc. itself.

The computer system of the artificial intelligence of the cyborg or the android interprets the abstract object of the class “Love”: “Test4 should love Test4’s neighbor as Test4 himself”, or the abstract object of the class “Steal”: “Test4 should not steal” further.

• „Die Klasse „Sollen“ ist von der Klasse „Modalverb“ abgeleitet".
• Als Schlussfolgerung wird unter der Variable „soll“, einem Objekt der Klasse „Sollen“, in dem abstrakten Objekt der Klasse „Lieben“: „Test4 soll Test4s Nächsten lieben wie Test4 selbst“, bzw.
• in dem abstrakten Objekt der Klasse „Stehlen“: „Test4 soll nicht stehlen“, der Wert „soll“ gespeichert. Die Objekte der Klassen, in denen ein Fragewort in der natürlichen Sprache, z.B. „welcher“ oder „wer“, definiert wird; das Objekt von der Klasse, die die Wörter klassifiziert, die zu dem Wortstamm des Verbs „Tun“ gehören z.B. „tun“; die Objekte der Klassen, in denen das Hilfsverb, das Modalverb, die Präposition, die Konjunktion usw. definiert werden, z.B. „soll“, substantiieren den entsprechenden
• Gedanken als das abstrakte Objekt analytisch, im Sinne nach der Arbeit von dem Cyborg-Interpreter. Über diesen dritten Zeiger, bzw. das abstrakte Objekt, kann man auf die Elementvariablen, d.h. auf die Datenelementen einer Klasse zugreifen, bzw. mit den Elementvariablen, d.h. mit den Datenelementen einer Klasse, manipulieren.

The computer system of the artificial intelligence of the cyborg or the android has the following abstract information in an abstract object of the class “Derive”:

• “The class “Ought” is derived from the class “Modal Verb””.
• The conclusion is under the variable “should”, an object of the class “Should”, in the abstract object of the class “Love”: “Test4 should love Test4’s neighbor as Test4 himself”, or
• in the abstract object of the class “Steal”: “Test4 shall not steal”, the value “shall” is stored. The objects of the classes in which a question word in natural language, for example “which” or “who”, is defined; the object of the class that classifies the words that belong to the root of the verb “do” e.g. “do”; the objects of the classes in which the auxiliary verb, the modal verb, the preposition, the conjunction, etc. are defined, e.g. “shall”, substantiate the corresponding one
• Thoughts as the abstract object analytically, in the sense of the work of the cyborg interpreter. Using this third pointer, or the abstract object, you can access the member variables, ie the data elements of a class, or manipulate the member variables, ie the data elements of a class.

In the 3 of the drawings is the pointer-oriented object detection method for the tangible, material-like treatment of information from the computer system of the artificial intelligence of the cyborg or the android, whereby the computer system of the artificial intelligence of the cyborg or the android accesses data elements of a class another deepened abstract level in which natural language takes place. Different sentence members, e.g. the object, the subject, the predicate, the attributes, the adverbial determinations, the local determination, the temporal determination, etc., can also consist of several words. These sentence members, which consist of several words, are initialized by the computer system of the artificial intelligence of a cyborg or an android when interpreting the other variables previously defined and given a value. If these sentence members are also saved under the abstract object, they should be deleted or forgotten as quickly as possible.

The computer system of the artificial intelligence of the cyborg or the android interprets an abstract object of the class “love”: “Test4 should love Test4’s neighbor like Test4 himself,” even further.

• Die Klasse „Wer“ ist von der Klasse „Fragewort“ abgeleitet.
• Unter der Variable „wessen“, einem Objekt der Klasse „Wer“, in dem abstrakten Objekt der Klasse „Lieben“: „Test4 soll Test4s Nächsten lieben wie Test4 selbst“, ist der Wert „Test4s“ gespeichert. Unter der Variable „welchen“, einem Objekt der Klasse „Welcher“, in dem abstrakten Objekt der Klasse „Lieben“: „Test4 soll Test4s Nächsten lieben wie Test4 selbst“, ist der Wert „Nächsten“ gespeichert.

The computer system of the artificial intelligence of the cyborg or the android has the following abstract information:

• The “Who” class is derived from the “Question Word” class.
• The value “Test4s” is stored under the variable “whose”, an object of the class “Who”, in the abstract object of the class “Love”: “Test4 should love Test4’s neighbor as Test4 himself”. The value “neighbor” is stored under the variable “which”, an object of the class “Which”, in the abstract object of the class “Love”: “Test4 should love Test4’s neighbor like Test4 himself”.

The conclusion is that under the variable “whom”, an object of the class “Who”, in the abstract object of the class “Love”: “Test4 shall Test4s Love Neighbors Like Test4 Himself”, the value “Test4s Neighbors” is saved. The value of the variable "whom" is initialized by concatenating the values stored under the variables "whose" and "which", the objects of the classes "Who" and "Which".

• Die Klasse „Wann“ ist von der Klasse „Fragewort“ abgeleitet.
• Unter der Konstante „um“, einem Objekt der Klasse „Um“, in dem abstrakten Objekt der Klasse „Sein“: „Test4 war auf dem Marienplatz um 10 Uhr“, ist der Wert „um“ gespeichert.
• Unter der Variable „wie viel“, einem Objekt der Klasse „Wie Viel“, in dem abstrakten Objekt der Klasse „Sein“: „Test4 war auf dem Marienplatz um 10 Uhr“, ist der Wert „zehn“ gespeichert.
• Unter der Variable „was“, einem Objekt der Klasse „Was“, in dem abstrakten Objekt der Klasse „Sein“: „Test4 war auf dem Marienplatz um 10 Uhr“, ist der Wert „Uhr“ gespeichert.
• Als Schlussfolgerung wird unter der Variable „wann“, einem Objekt der Klasse „Wann“, in dem abstrakten Objekt der Klasse „Sein“: „Test4 war auf dem Marienplatz um 10 Uhr“, der Wert „um zehn Uhr“ gespeichert. Der Wert von der Variable „wann“, einem Objekt der Klasse „Wann“, wird durch das Verketten der Werte, die unter den Variablen, bzw. der Konstante, „um“, „wie viel“ und „was“, den Objekten von den Klassen „Um“, „Wie Viel“ und „Was“, gespeichert sind, initialisiert.
• Die Objekte der Klassen, in denen ein Fragewort in der natürlichen Sprache, z.B. „wen“, „wessen“, „welchen“ oder „wann“, definiert wird; das Objekt von der Klasse, die die Wörter klassifiziert, die zu dem Wortstamm des Verbs „Tun“ gehören z.B. „tat“; die Objekte der Klassen, in denen das Hilfsverb, das Modalverb, die Präposition, die Konjunktion usw. definiert werden, z.B. „auf“ oder „um“, substantiieren den entsprechenden Gedanken als das abstrakte Objekt analytisch, im Sinne nach der Arbeit von dem Cyborg-Interpreter.

Then the artificial intelligence computer system interprets another abstract object of the class “Being” from the cyborg or the android: “Test4 was on Marienplatz at 10 a.m.” The computer system of the artificial intelligence of the cyborg or the android has the following abstract information:

• The “When” class is derived from the “Question Word” class.
• The value “at” is stored under the constant “um”, an object of the class “Um”, in the abstract object of the class “Being”: “Test4 was at Marienplatz at 10 o’clock”.
• The value “ten” is stored under the variable “how much”, an object of the class “How Much”, in the abstract object of the class “Being”: “Test4 was on Marienplatz at 10 o’clock”.
• The value “clock” is stored under the variable “was”, an object of the class “What”, in the abstract object of the class “Being”: “Test4 was on Marienplatz at 10 o’clock”.
• As a conclusion, the value “at ten o’clock” is stored under the variable “when”, an object of the class “When”, in the abstract object of the class “Being”: “Test4 was on Marienplatz at 10 o’clock”. The value of the variable "when", an object of the class "When", is determined by concatenating the values that exist among the variables, or the constants, "at", "how much" and "what", the objects of stored in the classes “To”, “How Much” and “What”.
• The objects of the classes in which a question word in natural language, for example "whom", "whose", "which" or "when", is defined; the object of the class that classifies the words belonging to the root of the verb “do” e.g. “tat”; the objects of the classes in which the auxiliary verb, the modal verb, the preposition, the conjunction, etc. are defined, e.g. "on" or "around", substantiate the corresponding thought as the abstract object analytically, in the sense according to the work of the cyborg -Interpreter.

According to 4 of the drawings is the pointer-oriented object detection method for the tangible, material-like treatment of information from the computer system from the artificial intelligence from the cyborg or the android, whereby a subjective, in the sense of the subject, dependent on the cyborg or the android, representation of relativity at the time from the abstract object, the state of things, in the sense of finished or not finished, from the abstract object, the personality to the abstract object, from the computer system, from the artificial intelligence, from the cyborg or the android, depicted in the one natural language is presented, layed out. To create a relativity at a time from the abstract object of the computer system to the artificial intelligence of the cyborg or the android in one natural language, the state of things from the abstract object in the sense of being finished or not finished, the personality to the abstract object, etc ., the abstract object is always stored with a modal verb, auxiliary verb, etc.

The computer system of the artificial intelligence of the cyborg or the android is located in Munich and travels via the Marienplatz on the S-Bahn (city express train). (A subway is a subway.)

• Nächster Halt: Marienplatz.
• Umsteigemöglichkeit zur U-Bahn.

In the S-Bahn, the artificial intelligence computer system hears the following messages from the MW (Munich Transport and Tariff Association) from the cyborg or the android:

• Next stop: Marienplatz.
• Possibility to transfer to the subway.

• Der nächste Halt ist Marienplatz.
• Es gibt die Umsteigemöglichkeit zur U-Bahn.
• Das heißt, dass zwei abstrakte Objekte, jeweilig von den Klassen „Sein“ und „Geben“ subjektiv bei dem Computersystem von der Künstlichen Intelligenz von dem Cyborg oder dem Android definiert und behandelt werden.
• Diese Information, bzw. die abstrakten Objekte, werden aber mit dem Hilfsverb gespeichert.
• Der nächste Halt tut Marienplatz sein.
• Es tut die Umsteigemöglichkeit zu der U-Bahn geben.

This abstract information is interpreted and understood by the computer system of the artificial intelligence of the cyborg or the android in the S-Bahn as follows:

• The next stop is Marienplatz.
• There is an option to transfer to the subway.
• This means that two abstract objects, each of the classes “Being” and “Giving”, are subjectively defined and treated in the computer system by the artificial intelligence of the cyborg or the android.
• However, this information, or the abstract objects, are stored with the auxiliary verb.
• The next stop will be Marienplatz.
• There is a transfer option to the subway.

QUOTES INCLUDED IN THE DESCRIPTION

This list of documents listed by the applicant was generated automatically and is included solely for the better information of the reader. The list is not part of the German patent or utility model application. The DPMA assumes no liability for any errors or omissions.

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• The “German Words Book” dictionary; Karl-Dieter Bünting, Isis Verlag AG, 1996, Chur/Switzerland, page 38 [0018]
• Jesse Liberty, 2000 by Markt&Technik Verlag, ISBN 3-8272-5624-0, the authorized translation of the original American edition: “Teach Yourself C++ in 21 Days” © 1999 by SAMS Publishing; Pages 252, 257 [0018]
• Jesse Liberty, 2000 by Markt&Technik Verlag, ISBN 3-8272-5624-0, the authorized translation of the original American edition: “Teach Yourself C++ in 21 Days” © 1999 by SAMS Publishing; Page 290 [0018]
• Jesse Liberty, 2000 by Markt&Technik Verlag, ISBN 3-8272-5624-0, the authorized translation of the original American edition: “Teach Yourself C++ in 21 Days” © 1999 by SAMS Publishing; Pages 263, 264, 267, 285 [0018]
• The C++ programming language”; 3. Edition; Bjarne Stroustrup (the inventor of C++); Addison Wesley Longman Publishing; 1998; ISBN 3-8273-1296-5; Page 136 [0018]
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Claims (15)

A pointer-oriented object detection method for a tangible, material-like treatment of information from a computer system from an artificial intelligence of a cyborg or an android, wherein the computer system is based on a natural language, and wherein a recorded signal reaction of the computer system from the artificial intelligence of the Cyborg or the android, a corresponding association of the computer system by the artificial intelligence of the cyborg or the android, and a corresponding thought of the computer system by the artificial intelligence of the cyborg or the android are physically built in the computer system, characterized in that the pointer-oriented Object detection method includes the following steps: physically building a first pointer in which random access memory (RAM) working memory addresses of a working memory area of all inputs of all sensors of all sensor groups of at least five senses equipped with sensory organs are stored, the at least five senses being a visual sense, a hearing sense, a sense of smell, a sense of touch and a sense of taste, each sense organ being equipped with at least one sensor group, and the first pointer being unique with respect to all the senses; treating the first pointer in a manner of thinking in the C++ programming language, such as instantiating an object on a heap (a freely available memory area upon a dynamic memory request); and treating the first pointer as a subjective object of the computer system of the artificial intelligence of the cyborg or the android, wherein the recorded signal response of the computer system of the artificial intelligence of the cyborg or the android is physically built with the subjective object. The pointer-oriented object detection method Claim 1 , characterized in that the pointer-oriented object detection method comprises the following step: simultaneously detecting the inputs of the sensors of the sensor groups, wherein the subjective object is not defined relative to a time. The pointer-oriented object detection method Claim 1 , characterized in that the pointer-oriented object detection method comprises the following steps: analyzing the subjective object in the one natural language in relation to other associations of the computer system of the artificial intelligence of the cyborg or the android; a completion of the subjective object in the one natural language relative to a time, with the computer system operating in the one natural language, and a completion of the subjective object in the one natural language associatively with respect to the computer system of the artificial intelligence of the cyborg or the Android, where the computer system works in one natural language; transforming the subjective object after the completion steps into a second pointer, whereby the second pointer is clearly built according to a signal phrase and a sense assignment of at least one sense, with the sense assignment indicating from which senses the signal Phrase was determined is stored; treating the second pointer in the manner of C++ programming language thinking, such as in instantiating the object on the heap (the freely available memory area in the dynamic memory request); and treating the second pointer as an associative object of the computer system of the artificial intelligence of the cyborg or the android, wherein the corresponding association of the computer system of the artificial intelligence of the cyborg or the android is physically built with the associative object. The pointer-oriented object detection method Claim 3 , characterized in that the pointer-oriented object detection method comprises the following step: physically building the associative object uniquely according to the signal phrase and a specific working memory area in which all associative objects with one of the sense assignments are stored. The pointer-oriented object detection method Claim 1 , characterized in that the pointer-oriented object detection method comprises the following steps: locating a further random access memory (RAM) memory area in which each word of a vocabulary of the computer system is stored by the artificial intelligence of the cyborg or the android; a mapping of each parsed word of a signal phrase of an associative object with a same word of the vocabulary of the computer system of the artificial intelligence of the cyborg or the android; physically building a third pointer to a combination of words from the vocabulary of the computer system, wherein a random access memory (RAM) memory address of the further random access memory (RAM) memory area of each mapped word of the vocabulary zes is stored together with a Random Access Memory (RAM) memory address of the word, which is an analytical entity and which contains an abstract meaning of the parsed word in a context to the whole associative object, the mapped word of the vocabulary being the word of the step of the mapping and is equal to the parsed word of the signal phrase of the associative object, where the combination of words includes the analytical entities and the mapped words, where the computer system works in the one natural language, and where the third pointer is unique after the combination of words is; treating the third pointer in the C++ programming language way of thinking, such as instantiating the object on the heap (the freely available memory area in the dynamic memory request); and treating the third pointer as an abstract object of the computer system of the artificial intelligence of the cyborg or the android, wherein the corresponding thought of the computer system of the artificial intelligence of the cyborg or the android is physically built with the abstract object. The pointer-oriented object detection method Claim 5 , characterized in that the pointer-oriented object detection method comprises the following steps: physically building the abstract object uniquely according to a combination of words from the vocabulary of only all abstract words that are mapped by the signal phrase of the associative object in the mapping step. The pointer-oriented object detection method Claim 5 , characterized in that the pointer-oriented object detection method comprises the following step: realizing member variables of a class of the abstract object, or data elements, through the abstract objects of the classes in which words are classified that correspond to a question word in the one natural Language in which the computer system of the artificial intelligence of the cyborg or the android works in a time window at the time, or through the question word that was asked about a part of speech or a sentence member. The pointer-oriented object detection method Claim 5 , characterized in that the pointer-oriented object detection method comprises the following steps: initializing member functions of a class of the abstract object, which manipulate the member variables, with the abstract objects of the classes in which words that belong to a word stem of a verb of the a natural language in which the computer system is classified by the artificial intelligence of the cyborg or the android in the time window at the time; and instantiating the member function under a member variable for the member function, the member variable for the member function presenting the abstract object to the class in which words belonging to the root of the verb “do” are classified. The pointer-oriented object detection method Claim 5 , characterized in that the pointer-oriented object detection method comprises the following step: storing auxiliary verbs, modal verbs, prepositions, conjunctions that are to be treated as constants, in the one natural language in which the computer system is controlled by the artificial intelligence of the cyborg or the Android works in the time window at the time, each under a member variable for the constants, which is realized using the abstract object of the class in which the auxiliary verb, the modal verb, the preposition, the conjunction itself is classified. The pointer-oriented object detection method Claim 5 , characterized in that the pointer-oriented object detection method comprises the following step: initializing various sentence members, for example an object, a subject, a predicate, attributes, adverbial determinations, a local determination, a temporal determination, which consist of several words, from the computer system of the Artificial intelligence from the cyborg or the android in interpreting other element variables previously defined and assigned a value. The pointer-oriented object detection method Claim 10 , characterized in that the pointer-oriented object detection method includes the following step: deleting, or forgetting, the various sentence members consisting of the plurality of words and which are used by the computer system of the artificial intelligence of the cyborg or the android Interpreting the other previously defined member variables and initializing them with a value is the fastest. The pointer-oriented object detection method Claim 5 , characterized in that the pointer-oriented object detection method comprises a step: decomposing compound sentences, a sentence connection and a sentence structure, from the computer The artificial intelligence system of the cyborg or the android interprets the abstract object into simple sentences (partial sentences, main and subordinate clauses) with the same real time stamp. The pointer-oriented object detection method Claim 5 , characterized in that the pointer-oriented object detection method comprises a following step: storing the abstract object always with a modal verb, an auxiliary verb, to provide a relativity to the time, a state of affairs, in a sense finished or not finished, of the abstract object , to represent a personality to the abstract object, from the computer system to the artificial intelligence from the cyborg or the android in one natural language. A pointer-oriented object detection method for a tangible, material-like treatment of information from a computer system from an artificial intelligence of a cyborg or an android, wherein the computer system is based on a natural language, and wherein a recorded signal reaction of the computer system from the artificial intelligence of the Cyborg or the android, a corresponding association of the computer system by the artificial intelligence of the cyborg or the android, and a corresponding thought of the computer system by the artificial intelligence of the cyborg or the android are physically built in the computer system, characterized in that the pointer-oriented Object detection method includes the following step: telepathing, the step of telepathing being a simultaneous (occurring at the same time) transfer of all three objects, i.e. the recorded signal reaction, the corresponding association and the corresponding thought, from the computer system of the Artificial intelligence from the cyborg or the android is implemented to another remote computer system by an artificial intelligence from a cyborg or an android. The pointer-oriented object detection method Claim 14 , characterized in that the pointer-oriented object detection method comprises the following step: telepathing, the step of telepathing being the simultaneous (occurring at the same time) transfer of all three objects, the recorded signal reaction, the corresponding association and the corresponding thought, the computer system is implemented by the artificial intelligence from the cyborg or the android to the other remote computer system, through an n-sense, for example WLAN, in a sense of a handover from the objects to a method with a mechanism “path -by-value“ (transfer as value) is implemented.

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