CN110263904A - The method for making third party's machine system obtain survivability emotion - Google Patents
The method for making third party's machine system obtain survivability emotion Download PDFInfo
- Publication number
- CN110263904A CN110263904A CN201910378080.7A CN201910378080A CN110263904A CN 110263904 A CN110263904 A CN 110263904A CN 201910378080 A CN201910378080 A CN 201910378080A CN 110263904 A CN110263904 A CN 110263904A
- Authority
- CN
- China
- Prior art keywords
- machine
- party
- survivability
- emotion
- machine system
- 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.)
- Pending
Links
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01D—MEASURING NOT SPECIALLY ADAPTED FOR A SPECIFIC VARIABLE; ARRANGEMENTS FOR MEASURING TWO OR MORE VARIABLES NOT COVERED IN A SINGLE OTHER SUBCLASS; TARIFF METERING APPARATUS; MEASURING OR TESTING NOT OTHERWISE PROVIDED FOR
- G01D21/00—Measuring or testing not otherwise provided for
- G01D21/02—Measuring two or more variables by means not covered by a single other subclass
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/004—Artificial life, i.e. computing arrangements simulating life
Landscapes
- Physics & Mathematics (AREA)
- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Data Mining & Analysis (AREA)
- Molecular Biology (AREA)
- Biophysics (AREA)
- Computational Linguistics (AREA)
- Artificial Intelligence (AREA)
- Evolutionary Computation (AREA)
- General Health & Medical Sciences (AREA)
- Biomedical Technology (AREA)
- Computing Systems (AREA)
- General Engineering & Computer Science (AREA)
- Life Sciences & Earth Sciences (AREA)
- Mathematical Physics (AREA)
- Software Systems (AREA)
- Health & Medical Sciences (AREA)
- Medical Treatment And Welfare Office Work (AREA)
Abstract
The invention discloses the methods for making third party's machine system obtain survivability emotion, the survivability emotion includes machine existence desire, machine passion, machine satisfaction and machine impression, the present invention with third party's machine system by docking, third party's machine system is set to obtain survivability emotion, drive artificial intelligence, finally allowing the survivability emotion of machine to become makes machine acquisition " spontaneous, automatically, the vital signs of self complete and self care " and the key technology of ability, cost is designed and manufactured with reduce machine, reduce the maintenance of machine, it repairs, upgrading, scrap cost；Target and power are provided for the algorithm and data of artificial intelligence, the quality of machine service people is improved, allows machine that there is passion and love.
Description
Technical field
The present invention relates to field of artificial intelligence, and in particular to third party's machine system is made to obtain the side of survivability emotion
Method.
Background technique
Contemporary artificial intelligence has the disadvantage in that
1. artificial intelligence (AI) can not break through the theoretical limit of algorithm, can not solve the existence platform of annual reporting law: all are artificial
Intelligence is all attributed to the selection and optimization (including data analysis algorithm and decision making algorithm) of algorithms of different, pocket in the range of algorithm
Circle can not break through the theoretical limit of algorithm, can not solve the existence platform of annual reporting law, i.e. algorithm can not solve setting for annual reporting law itself
Count (Designer), the goal-setting (Goal) of algorithm, algorithm execute Initiated Mechanism (Trigger), algorithm execute promotion
The primary condition that power and algorithm execute.Contemporary artificial intelligence does not recognize that exactly artificial emotion just solves setting for algorithm
The Initiated Mechanism that meter, the goal-setting of algorithm and algorithm execute；
2. artificial intelligence (AI) can not allow machine or robot to reach life boundary: due to the theory limitation of artificial intelligence
And the limit, machine or robot based on artificial intelligence can not obtain " self show loving care for, self is complete, self existence, self hair
Educate and self evolve " life characteristics and capabilities；
3. based on artificial intelligence (AI) machine or robot can not really realize self-programming: program otherwise be people design
Or be obtained by machine learning, and the program of machine learning after all or people design.
4. core status of pair emotion in artificial intelligence and biological phenomena is despised and is misread:
5.1 excessively raise rationality and algorithm, and negative or ignorance emotion are in artificial intelligence (AI) completeness and biological phenomena
Key effect；
5.2 ignore the significance of existence of emotion: emotion is the index of the serviceability of life entity Evaluation Environment, and vital movement is led
The compass of boat, and push the power of life process；
The understanding of 5.3 pairs of emotions is only in fast happy irrational level；
5.4 do not recognize: intelligence (artificial intelligence) is the tool for reaching target, and emotion (artificial emotion) is only life
The goal-setting person of object (robot) behavior, the initiator and pusher of behavior.
Summary of the invention
For above-mentioned technical deficiency, the object of the present invention is to provide so that third party's machine is obtained survivability emotion
Method makes third party's machine system obtain survivability emotion, by docking with third party's machine system to reduce the design of machine
And manufacturing cost, reduce the maintenance, reparation, upgrading, scrap cost of machine；For artificial intelligence algorithm and data provide target and
Power improves the quality of machine service people, and machine is allowed to have passion and love.
In order to solve the above technical problems, the present invention adopts the following technical scheme:
The present invention provides the method for making third party's machine system obtain survivability emotion, and the survivability emotion includes: machine
Device existence desire, machine passion, machine satisfaction and machine impression, comprising the following steps:
Step 1: defining third party's machine system survivability requirement, including defines internal demands, external demand and to demand
Degree is classified, and survivability requirement is stored in database；
Step 2: establishing third party's machine system survival condition parameter detector, and by the survival condition parameter detection
Device is connected to third party's machine；
Step 3: the survival condition parameter of third party's machine system is obtained, and the survival condition parameter is stored in data
Library；
Step 4: third party's machine system survivability requirement and survival condition parameter are supplied to third party's machine system machine
Existence desire, machine passion, machine satisfaction and machine experience module；
Step 5: third party's machine system forms machine existence desire, machine passion, machine satisfaction and machine sense
By, i.e., acquisition survivability emotion；
Step 6: starting and drives artificial intelligence, make third party's machine system realize " it is spontaneous, automatic, self it is complete and
The vital signs and ability of self care ".
Preferably, the internal demands include the interior condition and factor of third party's machine system machine existence；It is described outer
Portion's demand includes the external condition and factor of third party's machine system existence, and the level range of the demand degree is 0%-100%.
The beneficial effects of the present invention are: by docking with third party's machine system, give birth to third party's machine system
Sustainability emotion drives artificial intelligence, finally allow the survivability emotion of machine become allow machine to obtain spontaneous, automatic, self is complete
And self show loving care for " vital signs and ability, design and manufacture cost with reduce machine, reduce the maintenance of machine, reparation,
Upgrading, scrap cost；Target and power are provided for the algorithm and data of artificial intelligence, improves the quality of machine service people, allow machine
Device has passion and love.
Detailed description of the invention
In order to more clearly explain the embodiment of the invention or the technical proposal in the existing technology, to embodiment or will show below
There is attached drawing needed in technical description to be briefly described, it should be apparent that, the accompanying drawings in the following description is only this
Some embodiments of invention for those of ordinary skill in the art without creative efforts, can be with
It obtains other drawings based on these drawings.
Fig. 1 is the process signal of the method provided in an embodiment of the present invention for making third party's machine system obtain survivability emotion
Figure.
Specific embodiment
Following will be combined with the drawings in the embodiments of the present invention, and technical solution in the embodiment of the present invention carries out clear, complete
Site preparation description, it is clear that described embodiments are only a part of the embodiments of the present invention, instead of all the embodiments.It is based on
Embodiment in the present invention, it is obtained by those of ordinary skill in the art without making creative efforts every other
Embodiment shall fall within the protection scope of the present invention.
As shown in Figure 1, the method for making robot dog obtain survivability emotion, the survivability emotion includes existence desire, swashs
Feelings and machine impression, comprising the following steps:
Step 1: defining the survivability requirement of robot dog, including defines internal demands, external demand and carry out to demand degree
Classification, that is, define best existence body temperature (10 DEG C -50 DEG C, best 36 DEG C), the best living environment temperature range of robot dog
(10 DEG C -50 DEG C, best 25 DEG C), best electricity storage capacity range (10-20Ah), divide the organ damage depth of robot dog
Grade: the appearance damage -- damage of unimportant (0%), pedipulator -- serious (30%), storage battery damage -- serious (30%), electronic eyes
Machine is serious (100%) for damage -- very serious (60%), brain processor and mechanical neuronal damage --, and by the above survivability requirement
It is stored in database；
Step 2: establishing robot dog device survival condition parameter detector, including body-temperature detector, environment temperature detector,
Electricity detector and organ damage detector, and the survival condition parameter detector is connected to robot dog；
Step 3: the survival condition parameter (body temperature, environment temperature, electricity and organ damage) of robot dog is obtained, and will
The survival condition parameter is stored in database；
Step 4: robot dog survivability requirement and survival condition parameter are supplied to robot dog existence desire, passion, satisfaction
And machine experiences module；
Step 5: it is raw that robot dog forms machine existence desire, machine passion, machine satisfaction and machine impression, machine
It deposits desire and is equal to required for maintaining robot dog normal function best survival condition parameter and robot dog survival condition parameter detection
The difference for the actual survival condition parameter that device monitors；Machine impression is equal to robot dog survival condition parameter detector and monitors
Actual survival condition parameter and machine existence desire product；Machine passion is equal to the ratio of machine desire and machine satisfaction
Value, machine satisfaction are equal to the inverse of the difference of machine desire and machine impression；I.e. robot dog obtains survivability emotion；
Step 6: starting and drives artificial intelligence, and robot dog is made to realize " spontaneous, automatic, self complete and self pass
The vital signs and ability in bosom ".
The present invention makes third party's machine system obtain survivability emotion, drives people by docking with third party's machine system
Work intelligence finally allows the survivability emotion of machine to become and machine is allowed to obtain " spontaneous, automatic, self complete and self care "
Vital signs and ability design and manufacture cost with reduce machine, reduce the maintenance, reparation, upgrading, scrap cost of machine；
Target and power are provided for the algorithm and data of artificial intelligence, the quality of machine service people is improved, allows machine that there is passion and love
The heart.
Obviously, various changes and modifications can be made to the invention without departing from essence of the invention by those skilled in the art
Mind and range.In this way, if these modifications and changes of the present invention belongs to the range of the claims in the present invention and its equivalent technologies
Within, then the present invention is also intended to include these modifications and variations.
Claims (2)
1. the method for making third party's machine system obtain survivability emotion, the survivability emotion includes machine existence desire, machine
Device passion, machine satisfaction and machine impression, which comprises the following steps:
Step 1: third party's machine system survivability requirement is defined, including defines internal demands, external demand, and to demand degree
It is classified, and survivability requirement is stored in database；
Step 2: establishing third party's machine system survival condition parameter detector, and by the survival condition parameter detector with
The connection of third party's machine；
Step 3: the survival condition parameter of third party's machine system is obtained, and the survival condition parameter is stored in database；
Step 4: third party's machine system survivability requirement and survival condition parameter are supplied to third party's machine system existence machine
Desire, machine passion, machine satisfaction and machine experience module；
Step 5: third party's machine system forms machine existence desire, machine passion, machine satisfaction and machine impression, i.e.,
Obtain survivability emotion；
Step 6: starting and drives artificial intelligence, make third party's machine system realize " it is spontaneous, automatic, self it is complete and self
The vital signs and ability of care ".
2. the method for making third party's machine system obtain survivability emotion as described in claim 1, which is characterized in that in described
Portion's demand includes the interior condition and factor of third party's machine system machine existence；The external demand includes third party's machine system
The external condition and factor of system existence, the level range of the demand degree are 0%-100%.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910378080.7A CN110263904A (en) | 2019-05-08 | 2019-05-08 | The method for making third party's machine system obtain survivability emotion |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910378080.7A CN110263904A (en) | 2019-05-08 | 2019-05-08 | The method for making third party's machine system obtain survivability emotion |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN110263904A true CN110263904A (en) | 2019-09-20 |
Family
ID=67914367
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201910378080.7A Pending CN110263904A (en) | 2019-05-08 | 2019-05-08 | The method for making third party's machine system obtain survivability emotion |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN110263904A (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113158199A (en) * | 2020-02-23 | 2021-07-23 | 鄢华中 | Infinite embedded decentralized block chain digital asset security system and method |
Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20070150099A1 (en) * | 2005-12-09 | 2007-06-28 | Seung Ik Lee | Robot for generating multiple emotions and method of generating multiple emotions in robot |
| CN101697905A (en) * | 2007-02-14 | 2010-04-28 | 姜伟 | System for assessing survival duration desire psychology and behavior and adjusting survival duration desire psychology |
| CN205503502U (en) * | 2015-12-22 | 2016-08-24 | 金纪沇 | Artificial intelligence type intelligent security electric fan |
| CN107273841A (en) * | 2017-06-09 | 2017-10-20 | 北京工业大学 | A kind of electric sensibility classification method of the brain based on EMD and gaussian kernel function SVM |
| CN107972069A (en) * | 2017-11-27 | 2018-05-01 | 胡明建 | The design method that a kind of computer vision and Mechanical Touch are mutually mapped with the time |
| CN109040167A (en) * | 2018-06-07 | 2018-12-18 | 中国石油大学(华东) | Family endowment health monitoring auxiliary system and method based on Internet of Things |
| CN109074859A (en) * | 2016-05-04 | 2018-12-21 | 皇家飞利浦有限公司 | Estimation and use to clinician's assessment of patient's urgency |
| CN109241073A (en) * | 2018-09-02 | 2019-01-18 | 重庆市南岸区瑜目网络科技有限责任公司 | A method of allow artificial intelligence robot that there is human emotion |
| CN109708275A (en) * | 2018-12-29 | 2019-05-03 | 同济大学 | Large span sports building room temperature intelligent control system |
-
2019
- 2019-05-08 CN CN201910378080.7A patent/CN110263904A/en active Pending
Patent Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20070150099A1 (en) * | 2005-12-09 | 2007-06-28 | Seung Ik Lee | Robot for generating multiple emotions and method of generating multiple emotions in robot |
| CN101697905A (en) * | 2007-02-14 | 2010-04-28 | 姜伟 | System for assessing survival duration desire psychology and behavior and adjusting survival duration desire psychology |
| CN205503502U (en) * | 2015-12-22 | 2016-08-24 | 金纪沇 | Artificial intelligence type intelligent security electric fan |
| CN109074859A (en) * | 2016-05-04 | 2018-12-21 | 皇家飞利浦有限公司 | Estimation and use to clinician's assessment of patient's urgency |
| CN107273841A (en) * | 2017-06-09 | 2017-10-20 | 北京工业大学 | A kind of electric sensibility classification method of the brain based on EMD and gaussian kernel function SVM |
| CN107972069A (en) * | 2017-11-27 | 2018-05-01 | 胡明建 | The design method that a kind of computer vision and Mechanical Touch are mutually mapped with the time |
| CN109040167A (en) * | 2018-06-07 | 2018-12-18 | 中国石油大学(华东) | Family endowment health monitoring auxiliary system and method based on Internet of Things |
| CN109241073A (en) * | 2018-09-02 | 2019-01-18 | 重庆市南岸区瑜目网络科技有限责任公司 | A method of allow artificial intelligence robot that there is human emotion |
| CN109708275A (en) * | 2018-12-29 | 2019-05-03 | 同济大学 | Large span sports building room temperature intelligent control system |
Non-Patent Citations (2)
| Title |
|---|
| CHANGSHENG YU等: "An Emotion-based Approach to Decision Making and Self Learning in Autonomous Robot Control Robot Self-Awareness: Exploration of Internal States", 《PROCEEDINGS OF THE 5TH WORLD CONGRESS ON INTELLIGENT CONTROL》 * |
| 朱金玲: "基于自主意识的分布式情感机器人追捕任务分配研究", 《中国优秀硕士学位论文全文数据库 信息科技辑》 * |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113158199A (en) * | 2020-02-23 | 2021-07-23 | 鄢华中 | Infinite embedded decentralized block chain digital asset security system and method |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN107925239A (en) | Battery pack battery charge controller and method | |
| CN105787563A (en) | Self-learning mechanism-base fast matching fuzzy reasoning method | |
| CN106499656B (en) | A kind of fan wind speed intelligent control method | |
| CN109086930A (en) | A kind of user power utilization behavior analysis method based on electric power K line chart and depth network | |
| CN109633448A (en) | Identify the method, apparatus and terminal device of cell health state | |
| CN109214448A (en) | Non- good performance staff training method, system, terminal and computer readable storage medium | |
| CN110163540A (en) | Electric power system transient stability prevention and control method and system | |
| CN110263904A (en) | The method for making third party's machine system obtain survivability emotion | |
| CN113196415A (en) | Method and apparatus for predicting the evolution of a visually relevant parameter over time | |
| CN113261067A (en) | Method and device for establishing a model for predicting the evolution of a visually relevant parameter over time | |
| CN104537273A (en) | Intelligent reasoning system and method for drowning mode | |
| CN108197714A (en) | The method and device of operating mode judgement is carried out using machine learning model | |
| CN109683486A (en) | A method of control intelligent appliance equipment | |
| CN111799820B (en) | Double-layer intelligent hybrid zero-star cloud energy storage countermeasure regulation and control method for power system | |
| CN109363660A (en) | Rhythm of the heart method and server based on BP neural network | |
| KR20090007972A (en) | Method for configuring genetic code in software robot | |
| CN102708298B (en) | A kind of Vehicular communication system electromagnetic compatibility index distribution method | |
| CN116245009A (en) | Man-machine strategy generation method | |
| CN104750880B (en) | A kind of resistance to cool ability method for early warning of human body based on big data and system | |
| Haimes | Multiple-criteria decisionmaking: A retrospective analysis | |
| CN113516521A (en) | Energy data prediction method and system for energy Internet users | |
| Minutolo et al. | A fuzzy decision support language for building mobile DSSs for healthcare applications | |
| RU12243U1 (en) | DEVICE FOR MODELING THE PROCESS OF EVALUATING THE ACTIVITY OF A HUMAN OPERATOR | |
| CN106647249B (en) | A kind of power load distributing formula control method based on Netlogo and Matlab | |
| CN209137843U (en) | Resistance of motion control system |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination |