CA2618651A1 - Quantum computing h/w and s/w and artificial intelligence - Google Patents

Quantum computing h/w and s/w and artificial intelligence Download PDF

Info

Publication number
CA2618651A1
CA2618651A1 CA002618651A CA2618651A CA2618651A1 CA 2618651 A1 CA2618651 A1 CA 2618651A1 CA 002618651 A CA002618651 A CA 002618651A CA 2618651 A CA2618651 A CA 2618651A CA 2618651 A1 CA2618651 A1 CA 2618651A1
Authority
CA
Canada
Prior art keywords
interactions
versus
entity
artificial intelligence
stimulus
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Abandoned
Application number
CA002618651A
Other languages
French (fr)
Inventor
Gerard Voon
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Individual
Original Assignee
Individual
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Individual filed Critical Individual
Priority to CA002618651A priority Critical patent/CA2618651A1/en
Publication of CA2618651A1 publication Critical patent/CA2618651A1/en
Abandoned legal-status Critical Current

Links

Classifications

    • BPERFORMING OPERATIONS; TRANSPORTING
    • B82NANOTECHNOLOGY
    • B82YSPECIFIC USES OR APPLICATIONS OF NANOSTRUCTURES; MEASUREMENT OR ANALYSIS OF NANOSTRUCTURES; MANUFACTURE OR TREATMENT OF NANOSTRUCTURES
    • B82Y10/00Nanotechnology for information processing, storage or transmission, e.g. quantum computing or single electron logic
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N10/00Quantum computing, i.e. information processing based on quantum-mechanical phenomena

Abstract

Quantum Computers hard ware as well as soft ware and/or Artificial Intelligence (via node network and project manager/primary coordinator) where:

Running multiple simulations to solve the same type of problem at the same time. (each with different inputs and formulas (0.15%), or the same type of inputs variables (isolating the types, number of the variables (0.3%). Multiple problem solving rules/relationships (variable versus known quantities) choice and decision making by simultaneously attempting all options/decisions/strategies (strategies involve multiple options and ability to roughly guess the future scenarios correctly some of the time) at the same time (similar to Gerard's Mathematical Language) - operations/tries.

Where the final product that choice of formula will produce (result in) can be extrapolated.
Best foresight/forecasting (led to believed best decision/option/strategy based on clues, the best of which include major drivers that (least non-renewable resources required that produces the most impactful to results), balancing major variable and their relationships, and /or overview - collective of all factors and their contributions from start time to end time of final product.

In the case of Artificial Intelligence, multiple inputs are run through with Logic Language systems that bond entities and interactions together via attributes/clues/connections/linkages (of which multiple attribute/clues...can be searched at the same time) eg.
stimulus (rules (values - emotion that can be becoming and changing in response as time passes and spontaneity for humans can add an element of unpredictability) - interactions -response, action - reaction to find sought output, and other outputs speculated and/or accidentally discovered (negative and/or positive) running multiple simulations by varying type, amount and timing of inputs.

A systems inclusive parts that contribute to impact effects on the conditions of outputs, operations which are interactions (how the system or segment of system) works its proper behaviours, input and the action/reactions (and catalyst where these inputs usually aren't necessary as ingredient of the output character but are needed to facilitate the conversion of inputs into desirable output form).

The mechanics of relevant interactions type, amount of gain versus unwanted (in terms of usage don't belief needed; believed unimportant; can't see the value in any important usage;
doubt its usefulness) One use of Quantum computing monitor huge number of genes in any and all gene related diseases and/or solutions/treatments:

Such as Monitoring all the genes that have become deactivated/activated (timing - to suggest cause effect) such as when a batch of stem cells have stepped dividing. And then test each or combination (as well as sequencing - when along the division process become deactivated/activated) all genes simultaneously.

Stock Market - ROI, EPS, P/E, - given all major factors size of company to size of overlapping (strategy of) major pools of Investors that really only push the market in an either /or direction, that is buying (whether contrairian/growth/value -fundamentals/geographical switching - negative correlation cycles/chart tracking - larger time span appreciation (at peaks over the time span) - taking into account profit taking, corrections/event driven and/or timing) pushes the stock price up and when the major investors sell the price goes down;
whereby if the investors are rational a company that has good fundamentals -sustainable competitive advantage should appreciate over the long term....

Video Games/Artificial Intelligence - cascading (huge parts of games and alternative evolution of characters and outcomes - manmade and natural, changing society;
changing backdrops) changing resources, changing objects - change based on choices in game by Users. What happens based on (values and emotions; strategies logically and emotional responses - correct wants or wants related entities interactions of scenarios with) intents/agendas/motivations mentally carried out physical actions in reaction to scenarios, knowing what you hope to accomplish versus stimulus learned response versus response based on similar type of stimulus encountered in past (similarity in context) versus probability list of possible responses roll of dice, creating semi-random time/place and characters in the environments. What happened when other characters (run by Artificial Intelligence) reacts to the way the User (eg. while the User is away); incentives; positive various carrots and sticks;
fears; quality time (Je 0.01%); give/take; assets; affections; supportive of their insecurities (uncertainty); competitive by other characters how they treat the Artificial Intelligence characters, the Artificial Intelligence characters might learn to do without you while you are gone (learn to live independently) - from the compartment that the eg. object character chooses to dwell in. Incentives - negative; fight; argue; judge harshly;
(versus making allies); agree to join against common enemy; (also glory; promises for a group, crowds and populations behaviours).

Artificial Intelligence (eg. Office soft ware, computer programming, algorithm programming;
h/w, s/w tech support) can be rentable such as multiple Artificial Intelligences' that are running simultaneously and can even be self-directed; or the Artificial Intelligence can walk people through operating (inputs - interactions - outputs) any and all automated mechanical things even mind to body any and all things that can be controlled.

We could also use quantum computing for our Multiple Level Mag Lev Vechicle logistics and also Sky Highway and/or airport to airplane landing and lift off logistics.

In all the above cases we could put labels/representative word with a combination of numbers and alphabets (that dedicate a section to a systems' theme - similar to libraries Dewey Decimal Call Number) on each alternative especially landmarks choices/options labels mark system then entities (inputs/outputs)/interactions/time screnarios and quantities/qualities, organizing related system (whose parts have a close bond/attribute/clues/connections/linkages/relationships... - can be chosen and valued by strength and lasting (usually non-volatile) intervals/cycles of volatility temporary strengths versus steady, growing major factors that affect the strength of the relationship versus past factors that either by one side of the relationship or the other side has less (strong effects/impacts) as well as cycle spanning this type of relationship to influence and become impactful - also dependent on sensitivity of each side (supply/demand) and the amount of resources needed and allocated to make usually correlated (cause/effect) changing size of impacts) of choices by the same number/alphabet system label (section). We could also use SUDOC Call Number, ISBN/ISSN, OCLC...where User wants to save memory space, than can just include landmark representative system labels/names/key words (eg.
Medicine -treatments) ... that riff off internet browsers and on the Users own only include the specifics of the system's part(s) information they want quick access to (possibly because of expected repeated use) eg. short term memory.

My Logical Language and Artificial Intelligence creation uses a similar system. Different sections/chapters (of memory) are dedicated to different forms of human mind processes.
Therefore the left hand (large side) digits section/chapter digits (indicators of macro size/place) tells the User the process that occupies that place, how the process works operations; the right hand (small side) digits (micro specific digits) dedicate memory to contents: inputs - interactions - outputs. So a programmer who wants to deal with a certain mental process can go straight the section/process call number dedicated to that process.
Communications, chit chatting, content important (eg. identifying, important data, news, message, beliefs qualifying/quantifying...
Create an algorithm about emotions (responses), of the (can classify people eg. aggressive, assertive, passive, passive - aggressive) regular people's reactions to stimulus, taking into account types of new experiences, tendencies, current moods, context, types of events that have occurred over what time spans between multiple events that cause regular people to reframe/change perspective. Quantum Computing can be used to constantly update extrapolated changes in values and (given place and time...and other attributes/linkages/connections/clues - can update this too) that identify the character of the stimulus and/or response (possibly packaged upgrade over the internet - for values;
stimulus, response to duplicate personas of celebrities) and how the Artificial Intelligence perceives the stimulus and how it measures up to our expectations/enough that we believe we hope for. And our appetite which are generally driven by these factors.

Using entity, interactions, quality, quantity, theory, stories ...
interchangeabality below Another way to awaken the memory is to recognize a clue/attribute/key word and their characteristics/linked/connected that goes with, known to be related to entity you are looking for (such as the looking back at the sought after's entity's features - known surroundings, - parts of system that are bonded together by theme/subject/attribute/related...; what you remember and what you felt/liked/disliked (usually in response to features) degrees by clue entity towards sought after entity and the system in inhabits or parts within the sought after entity. This response feelings might possibly be matched via known features of the sought after entity and then matched with time frame(s) and place(s) and usage(s) -the major usual anchors of identity via experience of person's encounter with a past entity -at first glance, then other attributes/clues...

Social interactions depends scenarios (the parts - eg. objects (as well as conceptual content) that are the source of stimulus) the values that the person possesses determine sensitivity - amount of impact - the yield of the ability of the stimulus to effect us 1) passion (love - want best for person; hate want bad for the person), 2) indifference (no appetite) and 3) curiosity (interest) ... Most people develop repertoires of responses that generally govern normal behaviour - eg. office repertoires, home repertoires, socializing repertoires, versus letting loose and just having fun over weekends, or acting irrationally such as rebelling against those who tell you what to do. (Ch 0.01%).

Artificial Intelligence Many Simultaneous Complex Boolean Searches eg.
choosing the best eloquent word (and/or substitute answers) for expression:

The list of grouping that include/possess/ownership plus range of quantity a feature -- attribute that links to other entities/interactions/systems/parts via attributes/representative words/labels/titles/clues/linkages/connections (quality - direct composition of parts of an entity - interactions (system))/ keywords to understanding and representing the entity - system (titles/labels/popularity linked keywords linked to popularity and summary).

(anything) that help (relevant) identifies (usually usage driven since people only have interest in searching for something that they want to use (purpose) for something), features and/or attributes/clues/linkages/connections of other entities/interactions that cater to usage or would highly probable to be found definitively singly uniquely to identifying the wanted features of entity/interactions that best satisfies usage (and fit especially where unique requirements require specific quantities/qualities and/or entity nouns/pronouns names/titles/labels represent usage that keeps (possess) the wanted meaning to a specific level of detail - to home in on more than one word used to define/describe);
plus given alternate meanings that lingo has picked up as alternate and often similar meaning as the sought after definition for usage of word. What functions/usages/aspects that a word in question include in meaning that have cannot be included and therefore rules out use of this word. This is the process of elimination, except where the substitute words are close in meaning - word express unique properties, correct usage among like words (application of doing/interactions, versus identities/entities or multiple complex relationships called systems), look for the absolute perfect fit (versus many close substitutes, where certain qualities or unwanted qualities are expressed by one and/or combinations of high demand unique/niche supply) has been known to exist tracked back to usage of similar encountered in the past. How is the current answer/word (versus substitute) demand on expression/experience to describe/define the sought after target answer (or chunk/systems/pictures/scenarios; entities/interactions of meaning represented by words) are important enough in demand between the differences (between substitute -features) and How is supply (of each answer/word) able to include all the wanted meaning and also exclude critical meanings.
Definition in the case where there are no substitute words we can develop algorithms - that update themselves and/or an algorithm designing program to update other algorithm -analogies - models, by representing parts with labels (where the object is intangible), the behaviours of each part grouped together - usually by function as a segment of overall operations of the system, stimulus response (lasting and consistency) - life has an element of randomness (especially with people's thoughts). The analogy - model represents the answer, what it does, physical parts as well as beliefs (relationships such as cause - effects, business decisions based on event/expected impacts; scientific hypothesis -theories; story telling - movies for entertainment value experience.

In story telling some insights on Lord of the Rings. The Hobbits weren't just kids or young adults, they were boisterous and like to tell tall tales, and their bodies were different shaped even their strut were different from adolescents. Furthermore each character/fellow in Fellowship of the Rings, has pivotal points like their fate was to fulfill a testing point(s); the audience wonders, will they rise up to the challenge when the time(s) come.
What they contribute to their shared problems (gain/loss) make more different/easier.

We could also rent memory and processing software sharing the huge power of quantum computer hardware (offering different levels of software and memory over online - internet (more cost effective) shared (services) of hardware, even a search engine and/or blog...large customer platform websites (0.55% GP) (1.5%)

Description

January 7~', 2007 Note: not to be publicly published until International Patent Application has Occurred Gerard Voon Description Quantum Computers hard ware as well as soft ware and/or Artificial Intelligence (via node network and project manager/primary coordinator) where:

Running multiple simulations to solve the same type of problem at the same time. (each with different inputs and formulas (0.15%), or the same type of inputs variables (isolating the types, number of the variables (0.3%). Multiple problem solving rules/relationships (variable versus known quantities) choice and decision making by simultaneously attempting all options/decisions/strategies (strategies involve multiple options and ability to roughly guess the future scenarios correctly some of the time) at the same time (similar to Gerard's Mathematical Language) - operations/tries.

Where the final product that choice of formula will produce (result in) can be extrapolated.
Best foresight/forecasting (led to believed best decision/option/strategy based on clues, the best of which include major drivers that (least non-renewable resources required that produces the most impactful to results), balancing major variable and their relationships, and /or overview - collective of all factors and their contributions from start time to end time of final product.

In the case of Artificial Intelligence, multiple inputs are run through with Logic Language systems that bond entities and interactions together via attributes/clues/connections/linkages (of which muftiple attribute/clues... can be searched at the same time) eg.
stimulus (rules (values - emotion that can be becoming and changing in response as time passes and spontaneity for humans can add an element of unpredictability) - interactions -response, action - reaction to find sought output, and other outputs speculated and/or accidentally discovered (negative and/or positive) running multiple simulations by varying type, amount and timing of inputs.

A systems inclusive parts that contribute to impact effects on the conditions of outputs, operations which are interactions (how the system or segment of system) works its proper behaviours, input and the action/reactions (and catalyst where these inputs usually aren't necessary as ingredient of the output character but are needed to facilitate the conversion of inputs into desirable output form).

The mechanics of relevant interactions type, amount of gain versus unwanted (in terms of usage don't belief needed; believed unimportant; can't see the value in any important usage;
doubt its usefulness) One use of Quantum computing monitor huge number of genes in any and all gene related diseases and/or solutions/treatments:

Such as Monitoring all the genes that have become deactivated/activated (timing - to suggest cause effect) such as when a batch of stem cells have stepped dividing. And then test each or combination (as well as sequencing - when along the division process become deactivated/activated) all genes simultaneously.

Stock Market - ROI, EPS, P/E, - given all major factors size of company to size of overlapping (strategy of) major pools of Investors that really only push the market in an either /or direction, that is buying (whether contrairian/growth/value -fundamentals/geographical switching - negative correlation cycles/chart tracking - larger time span appreciation (at peaks over the time span) - taking into account profit taking, corrections/event driven and/or timing) pushes the stock price up and when the major investors sell the price goes down;
whereby if the investors are rational a company that has good fundamentals -sustainable competitive advantage should appreciate over the long term....

Video Games/Artificial Intelligence - cascading (huge parts of games and altemative evolution of characters and outcomes - manmade and natural, changing society;
changing backdrops) changing resources, changing objects - change based on choices in game by Users. What happens based on (values and emotions; strategies logically and emotional responses - correct wants or wants related entities interactions of scenarios with) intents/agendas/motivations mentally carried out physical actions in reaction to scenarios, knowing what you hope to accomplish versus stimulus learned response versus response based on similar type of stimulus encountered in past (similarity in context) versus probability list of possible responses roll of dice, creating semi-random time/place and characters in the environments. What happened when other characters (run by Artificial Inteiiigence) reacts to the way the User (eg. while the User is away); incentives; positive various carrots and sticks;
fears; quality time (Je 0.01 %); give/take; assets; affections; supportive of their insecurities (uncertainty); competitive by other characters how they treat the Artificial Intelligence characters, the Artificial Intelligence characters might learn to do without you while you are gone (learn to live independently) - from the compartment that the eg. object character chooses to dwell in. Incentives - negative; fight; argue; judge harshly;
(versus making allies); agree to join against common enemy; (also glory; promises for a group, crowds and populations behaviours).

Artificial Intelligence (eg. Office soft ware, computer programming, algorithm programming;
h/w, s/w tech support) can be rentable such as multiple Artificial lntelligences' that are running simultaneously and can even be self-directed; or the Artificial Intelligence can walk people through operating (inputs - interactions - outputs) any and all automated mechanical things even mind to body any and all things that can be controlled.

We could also use quantum computing for our Multiple Level Mag Lev Vechicle logistics and also Sky Highway and/or airport to airplane landing and lift off logistics.

In all the above cases we could put labels/representative word with a combination of numbers and alphabets (that dedicate a section to a systems' theme - similar to libraries Dewey Decimal Call Number) on each alternative especially landmarks choices/options labels mark system then entities (inputs/outputs)rnteractions/time screnarios and quantities/qualities, organizing related system (whose parts have a close bond/attribute/clues/connections/linkages/relationships... - can be chosen and valued by strength and lasting (usually non-volatile) intervals/cycles of volatility temporary strengths versus steady, growing major factors that affect the strength of the relationship versus past factors that either by one side of the relationship or the other side has less (strong effects/impacts) as well as cycle spanning this type of relationship to influence and become impactful - also dependent on sensitivity of each side (supply/demand) and the amount of resources needed and allocated to make usually correlated (cause/effect) changing size of impacts) of choices by the same number/alphabet system label (section). We could also use SUDOC Call Number, ISBN/ISSN, OCLC...where User wants to save memory space, than can just include landmark representative system labels/names/key words (eg.
Medicine -treatments)...that riff off internet browsers and on the Users own only include the specifics of the system's part(s) information they want quick access to (possibly because of expected repeated use) eg. short term memory.

My Logical Language and Artificial Intelligence creation uses a similar system. Different sections/chapters (of memory) are dedicated to different forms of human mind processes.
Therefore the left hand (large side) digits section/chapter digits (indicators of macro size/place) tells the User the process that occupies that place, how the process works operations; the right hand (small side) digits (micro specific digits) dedicate memory to contents: inputs - interactions - outputs. So a programmer who wants to deal with a certain mental process can go straight the section/process call number dedicated to that process.
Communications, chit chatting, content important (eg. identifying, important data, news, message, beliefs qualifying/quantifying...
Create an algorithm about emotions (responses), of the (can classify people eg. aggressive, assertive, passive, passive - aggressive) regular people's reactions to stimulus, taking into account types of new experiences, tendencies, current moods, context, types of events that have occurred over what time spans between multiple events that cause reguiar people to reframe/change perspective. Quantum Computing can be used to constantly update extrapolated changes in values and (given place and time...and other attributes/linkages/connections/clues - can update this too) that identify the character of the stimulus and/or response (possibly packaged upgrade over the intemet - for values;
stimulus, response to duplicate personas of celebrities) and how the Artificial Intelligence perceives the stimulus and how it measures up to our expectations/enough that we believe we hope for. And our appetite which are generally driven by these factors.

Using entity, interactions, quality, quantity, theory, stories...
interchangeabality below Another way to awaken the memory is to recognize a clue/attribute/key word and their characteristics/linked/connected that goes with, known to be related to entity you are looking for (such as the looking back at the sought after's entity's features - known surroundings, -parts of system that are bonded together by theme/subject/attribute/related...; what you remember and what you felt/liked/disliked (usually in response to features) degrees by clue entity towards sought after entity and the system in inhabits or parts within the sought after entity. This response feelings might possibly be matched via known features of the sought after entity and then matched with time frame(s) and place(s) and usage(s) -the major usual anchors of identity via experience of person's encounter with a past entity -at first glance, then other attributes/clues...

Social interactions depends scenarios (the parts - eg. objects (as well as conceptual content) that are the source of stimulus) the values that the person possesses determine sensitivity - amount of impact - the yield of the ability of the stimulus to effect us 1) passion (love - want best for person; hate want bad for the person), 2) indifference (no appetite) and 3) curiosity (interest) ... Most people develop repertoires of responses that generally govern normal behaviour - eg. office repertoires, home repertoires, socializing repertoires, versus letting loose and just having fun over weekends, or acting irrationally such as rebelling against those who tell you what to do. (Ch 0.01 %).

Arfificial Intelligence Many Simultaneous Complex Boolean Searches eg.
choosing the best eloquent word (and/or substitute answers) for expression:

The list of grouping that include/possess/ownership plus range of quantity a feature -attribute that links to other entities/interactions/systems/parts via attributes/representative words/labels/titles/clues/linkages/connections (quality - direct composition of parts of an entity - interactions (system))/ keywords to understanding and representing the entity -system (titles/labels/popularity linked keywords linked to popularity and summary).

(anything) that help (relevant) identifies (usually usage driven since people only have interest in searching for something that they want to use (purpose) for something), features and/or attributes/clues/linkages/connections of other entities/interactions that cater to usage or would highly probable to be found definitively singly uniquely to identifying the wanted features of entity/interactions that best satisfies usage (and fit especialiy where unique requirements require specific quantities/qualities and/or entity nouns/pronouns names/tities/labels represent usage that keeps (possess) the wanted meaning to a specific level of detail - to home in on more than one word used to define/describe);
plus given alternate meanings that lingo has picked up as alternate and often similar meaning as the sought after definition for usage of word. What functions/usages/aspects that a word in question include in meaning that have cannot be included and therefore rules out use of this word. This is the process of elimination, except where the substitute words are close in meaning - word express unique properties, correct usage among like words (application of doing/interactions, versus identities/entities or multiple complex relationships called systems), look for the absolute perfect fit (versus many close substitutes, where certain qualities or unwanted qualities are expressed by one and/or combinations of high demand unique/niche supply) has been known to exist tracked back to usage of similar encountered in the past. How is the current answer/word (versus substitute) demand on expression/experience to describe/define the sought after target answer (or chunk/systems/pictures/scenarios; entities/interactions of meaning represented by words) are important enough in demand between the differences (between substitute -features) and How is supply (of each answer/word) able to include all the wanted meaning and also exclude critical meanings.
Definition in the case where there are no substitute words we can develop algorithms - that update themselves and/or an algorithm designing program to update other algorithm -analogies - models, by representing parts with labels (where the object is intangible), the behaviours of each part grouped together - usually by function as a segment of overall operations of the system, stimulus response (lasting and consistency) - life has an element of randomness (especially with people's thoughts). The analogy - model represents the answer, what it does, physical parts as well as beliefs (relationships such as cause - effects, business decisions based on event/expected impacts; scientific hypothesis -theories; story telling - movies for entertainment value experience.

In story telling some insights on Lord of the Rings. The Hobbits weren't just kids or young adults, they were boisterous and like to tell tall tales, and their bodies were different shaped even their strut were different from adolescents. Furthermore each character/fellow in Fellowship of the Rings, has pivotal points like their fate was to fulfill a testing point(s); the audience wonders, will they rise up to the challenge when the time(s) come.
What they contribute to their shared problems (gain/loss) make more different/easier.

We could also rent memory and processing software sharing the huge power of quantum computer hardware (offering different levels of software and memory over online - internet (more cost effective) shared (services) of hardware, even a search engine and/or blog...large customer ptatform websites (0.55% GP) (1.5%)

Claims

Claims Quantum Computers hard ware as well as soft ware and/or Artificial Intelligence (via node network and project manager/primary coordinator) where:

Running multiple simulations to solve the same type of problem at the same time. (each with different inputs and formulas (0.15%), or the same type of inputs variables (isolating the types, number of the variables (0.3%). Multiple problem solving rules/relationships (variable versus known quantities) choice and decision making by simultaneously attempting all options/decisions/strategies (strategies involve multiple options and ability to roughly guess the future scenarios correctly some of the time) at the same time (similar to Gerard's Mathematical Language) - operations/tries.

Where the final product that choice of formula will produce (result in) can be extrapolated.
Best foresight/forecasting (led to believed best decision/option/strategy based on clues, the best of which include major drivers that (least non-renewable resources required that produces the most impactful to results), balancing major variable and their relationships, and /or overview - collective of all factors and their contributions from start time to end time of final product.

In the case of Artificial Intelligence, multiple inputs are run through with Logic Language systems that bond entities and interactions together via attributes/clues/connections/linkages (of which multiple attribute/clues...can be searched at the same time) eg.
stimulus (rules (values - emotion that can be becoming and changing in response as time passes and spontaneity for humans can add an element of unpredictability) - interactions -response, action - reaction to find sought output, and other outputs speculated and/or accidentally discovered (negative and/or positive) running multiple simulations by varying type, amount and timing of inputs.

A systems inclusive parts that contribute to impact effects on the conditions of outputs, operations which are interactions (how the system or segment of system) works its proper behaviours, input and the action/reactions (and catalyst where these inputs usually aren't necessary as ingredient of the output character but are needed to facilitate the conversion of inputs into desirable output form).

The mechanics of relevant interactions type, amount of gain versus unwanted (in terms of usage don't belief needed; believed unimportant; can't see the value in any important usage;
doubt its usefulness) One use of Quantum computing monitor huge number of genes in any and all gene related diseases and/or solutions/treatments:

Such as Monitoring all the genes that have become deactivated/activated (timing - to suggest cause effect) such as when a batch of stem cells have stepped dividing. And then test each or combination (as well as sequencing - when along the division process become deactivated/activated) all genes simultaneously.

Stock Market - ROI, EPS, P/E, - given all major factors size of company to size of overlapping (strategy of) major pools of Investors that really only push the market in an either /or direction, that is buying (whether contrairian/growth/value -fundamentals/geographical switching - negative correlation cycles/chart tracking - larger time span appreciation (at peaks over the time span) - taking into account profit taking, corrections/event driven and/or timing) pushes the stock price up and when the major investors sell the price goes down;
whereby if the investors are rational a company that has good fundamentals -sustainable competitive advantage should appreciate over the long term....

Video Games/Artificial Intelligence - cascading (huge parts of games and alternative evolution of characters and outcomes - manmade and natural, changing society;
changing backdrops) changing resources, changing objects - change based on choices in game by Users. What happens based on (values and emotions; strategies logically and emotional responses - correct wants or wants related entities interactions of scenarios with) intents/agendas/motivations mentally carried out physical actions in reaction to scenarios, knowing what you hope to accomplish versus stimulus learned response versus response based on similar type of stimulus encountered in past (similarity in context) versus probability list of possible responses roll of dice, creating semi-random time/place and characters in the environments. What happened when other characters (run by Artificial Intelligence) reacts to the way the User (eg. while the User is away); incentives; positive various carrots and sticks;
fears; quality time (Je 0.01 %); give/take; assets; affections; supportive of their insecurities (uncertainty); competitive by other characters how they treat the Artificial Intelligence characters, the Artificial Intelligence characters might leam to do without you while you are gone (learn to live independently) - from the compartment that the eg. object character chooses to dwell in. Incentives - negative; fight; argue; judge harshly;
(versus making allies); agree to join against common enemy; (also glory; promises for a group, crowds and populations behaviours).

Artificial Intelligence (eg. Office soft ware, computer programming, algorithm programming;
h/w, s/w tech support) can be rentable such as multiple Artificial Intelligences' that are running simultaneously and can even be self-directed; or the Artificial Intelligence can walk people through operating (inputs - interactions - outputs) any and all automated mechanical things even mind to body any and all things that can be controlled.

We could also use quantum computing for our Multiple Level Mag Lev Vechicle logistics and also Sky Highway and/or airport to airplane landing and lift off logistics.

In all the above cases we could put labels/representative word with a combination of numbers and alphabets (that dedicate a section to a systems' theme - similar to libraries Dewey Decimal Call Number) on each alternative especially landmarks choices/options labels mark system then entities (inputs/outputs)/interactions/time screnarios and quantities/qualities, organizing related system (whose parts have a close bond/attribute/clues/connections/linkages/relationships... - can be chosen and valued by strength and lasting (usually non-volatile) intervals/cycles of volatility temporary strengths versus steady, growing major factors that affect the strength of the relationship versus past factors that either by one side of the relationship or the other side has less (strong effectsAmpacts) as well as cycle spanning this type of relationship to influence and become impactful - also dependent on sensitivity of each side (supply/demand) and the amount of resources needed and allocated to make usually correlated (cause/effect) changing size of impacts) of choices by the same number/alphabet system label (section). We could also use SUDOC Call Number, ISBN/ISSN, OCLC...where User wants to save memory space, than can just include landmark representative system labels/names/key words (eg.
Medicine -treatments) ... that riff off internet browsers and on the Users own only include the specifics of the system's part(s) information they want quick access to (possibly because of expected repeated use) eg. short term memory.

My Logical Language and Artificial Intelligence creation uses a similar system. Different sections/chapters (of memory) are dedicated to different forms of human mind processes.
Therefore the left hand (large side) digits section/chapter digits (indicators of macro size/place) tells the User the process that occupies that place, how the process works operations; the right hand (small side) digits (micro specific digits) dedicate memory to contents: inputs - interactions - outputs. So a programmer who wants to deal with a certain mental process can go straight the section/process call number dedicated to that process.
Communications, chit chatting, content important (eg. identifying, important data, news, message, beliefs qualifying/quantifying...
Create an algorithm about emotions (responses), of the (can classify people eg. aggressive, assertive, passive, passive - aggressive) regular people's reactions to stimulus, taking into account types of new experiences, tendencies, current moods, context, types of events that have occurred over what time spans between multiple events that cause regular people to reframe/change perspective. Quantum Computing can be used to constantly update extrapolated changes in values and (given place and time...and other attributes/linkages/connections/clues - can update this too) that identify the character of the stimulus and/or response (possibly packaged upgrade over the internet - for values;
stimulus, response to duplicate personas of celebrities) and how the Artificial Intelligence perceives the stimulus and how it measures up to our expectations/enough that we believe we hope for. And our appetite which are generally driven by these factors.

Using entity, interactions, quality, quantity, theory, stories ...
interchangeabality below Another way to awaken the memory is to recognize a clue/attribute/key word and their characteristics/linked/connected that goes with, known to be related to entity you are looking for (such as the looking back at the sought after's entity's features - known surroundings, -parts of system that are bonded together by the me/subject/attrib ute/related... ; what you remember and what you felt/liked/disliked (usually in response to features) degrees by clue entity towards sought after entity and the system in inhabits or parts within the sought after entity. This response feelings might possibly be matched via known features of the sought after entity and then matched with time frame(s) and place(s) and usage(s) -the major usual anchors of identity via experience of person's encounter with a past entity -at first glance, then other attributes/clues...

Social interactions depends scenarios (the parts - eg. objects (as well as conceptual content) that are the source of stimulus) the values that the person possesses determine sensitivity - amount of impact - the yield of the ability of the stimulus to effect us 1) passion (love - want best for person; hate want bad for the person), 2) indifference (no appetite) and 3) curiosity (interest)...Most people develop repertoires of responses that generally govern normal behaviour - eg. office repertoires, home repertoires, socializing repertoires, versus letting loose and just having fun over weekends, or acting irrationally such as rebelling against those who tell you what to do. (Ch 0.01%).

Artificial Intelligence Many Simultaneous Complex Boolean Searches eg.
choosing the best eloquent word (and/or substitute answers) for expression:

The list of grouping that include/possess/ownership plus range of quantity a feature -attribute that links to other entities/interactions/systems/parts via attributes/representative words/labels/titles/clues/linkages/connections (quality - direct composition of parts of an entity - interactions (system))/ keywords to understanding and representing the entity -system (titles/labels/popularity linked keywords linked to popularity and summary).

(anything) that help (relevant) identifies (usually usage driven since people only have interest in searching for something that they want to use (purpose) for something), features and/or attributes/clues/linkages/connections of other entities/interactions that cater to usage or would highly probable to be found definitively singly uniquely to identifying the wanted features of entity/interactions that best satisfies usage (and fit especially where unique requirements require specific quantities/qualities and/or entity nouns/pronouns names/titles/labels represent usage that keeps (possess) the wanted meaning to a specific level of detail - to home in on more than one word used to define/describe);
plus given alternate meanings that lingo has picked up as alternate and often similar meaning as the sought after definition for usage of word. What functions/usages/aspects that a word in question include in meaning that have cannot be included and therefore rules out use of this word. This is the process of elimination, except where the substitute words are close in meaning - word express unique properties, correct usage among like words (application of doing/interactions, versus identities/entities or multiple complex relationships called systems), look for the absolute perfect fit (versus many close substitutes, where certain qualities or unwanted qualities are expressed by one and/or combinations of high demand unique/niche supply) has been known to exist tracked back to usage of similar encountered in the past. How is the current answer/word (versus substitute) demand on expression/experience to describe/define the sought after target answer (or chunk/systems/pictures/scenarios; entities/interactions of meaning represented by words) are important enough in demand between the differences (between substitute -features) and How is supply (of each answer/word) able to include all the wanted meaning and also exclude critical meanings.
Definition in the case where there are no substitute words we can develop algorithms - that update themselves and/or an algorithm designing program to update other algorithm -analogies - models, by representing parts with labels (where the object is intangible), the behaviours of each part grouped together - usually by function as a segment of overall operations of the system, stimulus response (lasting and consistency) - life has an element of randomness (especially with people's thoughts). The analogy - model represents the answer, what it does, physical parts as well as beliefs (relationships such as cause - effects, business decisions based on event/expected impacts; scientific hypothesis -theories; story telling - movies for entertainment value experience.

In story telling some insights on Lord of the Rings. The Hobbits weren't just kids or young adults, they were boisterous and like to tell tall tales, and their bodies were different shaped even their strut were different from adolescents. Furthermore each character/fellow in Fellowship of the Rings, has pivotal points like their fate was to fulfill a testing point(s); the audience wonders, will they rise up to the challenge when the time(s) come.
What they contribute to their shared problems (gain/loss) make more different/easier.

We could also rent memory and processing software sharing the huge power of quantum computer hardware (offering different levels of software and memory over online - internet (more cost effective) shared (services) of hardware, even a search engine and/or blog...large customer platform websites (0.55% GP) (1.5%)
CA002618651A 2008-02-25 2008-02-25 Quantum computing h/w and s/w and artificial intelligence Abandoned CA2618651A1 (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CA002618651A CA2618651A1 (en) 2008-02-25 2008-02-25 Quantum computing h/w and s/w and artificial intelligence

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CA002618651A CA2618651A1 (en) 2008-02-25 2008-02-25 Quantum computing h/w and s/w and artificial intelligence

Publications (1)

Publication Number Publication Date
CA2618651A1 true CA2618651A1 (en) 2009-08-25

Family

ID=41010597

Family Applications (1)

Application Number Title Priority Date Filing Date
CA002618651A Abandoned CA2618651A1 (en) 2008-02-25 2008-02-25 Quantum computing h/w and s/w and artificial intelligence

Country Status (1)

Country Link
CA (1) CA2618651A1 (en)

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2019047352A1 (en) * 2017-09-05 2019-03-14 平安科技(深圳)有限公司 Social data-based asset allocation method, electronic device and medium
CN113144590A (en) * 2021-03-23 2021-07-23 苏州乐志软件科技有限公司 Artificial intelligence engine based on AI Designer

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2019047352A1 (en) * 2017-09-05 2019-03-14 平安科技(深圳)有限公司 Social data-based asset allocation method, electronic device and medium
CN113144590A (en) * 2021-03-23 2021-07-23 苏州乐志软件科技有限公司 Artificial intelligence engine based on AI Designer

Similar Documents

Publication Publication Date Title
Hortensius et al. From automata to animate beings: the scope and limits of attributing socialness to artificial agents
Sah Machine learning: a review of learning types
Evans Social computing unhinged
Bull A brief history of learning classifier systems: from CS-1 to XCS and its variants
Alomari et al. Prediction of the digital game rating systems based on the ESRB
Liu et al. Libero: Benchmarking knowledge transfer for lifelong robot learning
Weber et al. Homophily in the formation and development of learning networks among university students
Norris et al. Modelling biological systems with competitive coherence
Kuipers et al. Journey of Artificial Intelligence
CA2618651A1 (en) Quantum computing h/w and s/w and artificial intelligence
Stock Exact and efficient algorithms for pairwise learning
Brandstetter et al. Robots will dominate the use of our language
Wendel et al. An agent-based analysis of context-dependent preferences
Antonelli Robotic research: Are we applying the scientific method?
Gupta et al. Behavioral recommendation engine driven by only non-identifiable user data
Voss et al. Playing a strategy game with knowledge-based reinforcement learning
Borsboom et al. Network perspectives
Zhang et al. Evolutionary dynamics of strategies without complete information on complex networks
Pandey et al. Fuzzy QFD for decision support model in Evaluating Basic Cause of Children falling into Blue Whale Game
Alpern et al. A normal form game model of search and pursuit
Kuipers Trust and Cooperation. Front. Robot. AI 9: 676767. doi: 10.3389/frobt. 2022.676767 Trust and Cooperation
Room The Empirical Investigation of Non-Linear Dynamics in the Social World. Ontology, Methodology and Data
Chaudhuri et al. Collaborative Reinforcement Learning Framework to Model Evolution of Cooperation in Sequential Social Dilemmas
Shai Modeling the evolution of technologies
Bloembergen et al. Learning in networked interactions: A replicator dynamics approach

Legal Events

Date Code Title Description
FZDE Discontinued