CN101344936A - Computer aided recognition method based on behavior science - Google Patents
Computer aided recognition method based on behavior science Download PDFInfo
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- CN101344936A CN101344936A CNA2007100423843A CN200710042384A CN101344936A CN 101344936 A CN101344936 A CN 101344936A CN A2007100423843 A CNA2007100423843 A CN A2007100423843A CN 200710042384 A CN200710042384 A CN 200710042384A CN 101344936 A CN101344936 A CN 101344936A
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Abstract
Aiming at overcoming the defect of the poor capacity of existing computers in recognizing blooming and improving the capacity of the computers in recognizing the blooming, vague languages used commonly by people are needed to be designed into instructions and programs acceptable to machines so that the machines can make corresponding judgments as concise and flexible as human brains, thereby improving the efficiency in terms of automatic identification and blooming control. The invention provides an aided cognition method of computers on the basis of behavioral science and realizes the accuracy of the aided cognition method course of the computer on the basis of the behavioral science.
Description
Technical field
Patent of the present invention relates to a kind of method of discerning based on the area of computer aided of human behavior science, has especially realized the accuracy based on the area of computer aided identifying of human behavior science.
Background technology
At present, known people compares with computing machine, and in general, human brain has the ability of handling fuzzy message, is a good judge of and handles blooming.But computing machine is relatively poor to the blooming recognition capability, in order to improve the ability of computer Recognition blooming, just the fuzzy language that people use always need be designed to receptible instruction of machine and program, so that machine can be as human brain the succinct corresponding judgment of making flexibly, thereby improve the efficient of identification automatically and control blooming.
Summary of the invention
In order to overcome existing computing machine to the relatively poor situation of blooming recognition capability, in order to improve the ability of computer Recognition blooming, just the fuzzy language that people use always need be designed to receptible instruction of machine and program, so that machine can be as human brain the succinct corresponding judgment of making flexibly, thereby improve the efficient of identification automatically and control blooming, the invention provides a kind of method of discerning based on the area of computer aided of human behavior science, this invention has realized the accuracy based on the procedure of the area of computer aided identification of human behavior science.
The technical solution adopted for the present invention to solve the technical problems is: utilize computer science to handle and realize.
The invention has the beneficial effects as follows, realized accuracy based on the procedure of the area of computer aided of human behavior science identification.
Description of drawings
The present invention is further described below in conjunction with drawings and Examples.
Fig. 1 is a schematic diagram of the present invention
Embodiment
The present invention can be designed to the fuzzy language that people use always receptible instruction of machine and program, so as machine can be as human brain the succinct corresponding judgment of making flexibly, thereby improve the efficient of identification automatically and control blooming.Its key step comprises: the first, and research theory of fuzzy mathematics, and the relation of it and accurate mathematical, random mathematics.Examine moral based on the accurate mathematical set theory, and consider the collective concept of mathematics is made amendment and promoted.He proposes with " fuzzy set " mathematical model as the fuzzy things of performance.And on " fuzzy set ", progressively set up computing, rule of conversion, carry out relevant theoretical research, just might construct a large amount of fuzzy Fundamentals of Mathematics in the research real world, can be to the mathematical method of it seems that quite complicated fuzzy system is carried out quantitative description and processing.
In fuzzy set, the given range interior element not necessarily has only two kinds of situations of "Yes" or "No" to its membership, but uses the real number between 0 and 1 to represent subjection degree, also has the middle transition state.Such as " old man " is fuzzy concept, 70 years old belong to the old man certainly, its subordinate degree is 1,40 years old people does not include the old man certainly, and its subordinate degree is 0, according to looking into the formula that moral provides, the degree that belonged to " always " in 55 years old is 0.5, i.e. " half old " belonged to the degree 0.8 of " always " in 60 years old.Look into moral and think, indicate the set that is subordinate to of each element, just equal to have specified a set.When being under the jurisdiction of when being worth between 0 and 1, be exactly fuzzy set.
The second, research fuzzing linguistics and fuzzy logic.People's natural language has ambiguity, and people often accept fuzzy language and fuzzy message, and can make correct identification and judgement.
In order to realize carrying out direct dialogue with computing machine with natural language, just must refine into mathematical model to the mankind's language and thought process, could give the computing machine input instruction, the fuzzy mathematical model of setting up and being, this is the key of utilization mathematical method.Look into moral and adopt Fuzzy Set Theory to set up the mathematical model of fuzzy language, make human language quantification, formalization.
If we are decided to be 1 to the membership function value of the standard sentence of grammatical, so, other syntax are wrong slightly, but still can express the sentence of similar thought, just can characterize the subjection degree that it is subordinated to " correct sentence " in order to the consecutive numbers between 0 to 1.Like this, just fuzzy language is quantitatively described, and makes a cover computing, transformation rule.At present, fuzzy language is also very immature, and the linguist furthers investigate.
People's thinking activities usually require the determinacy and the accuracy of notion, adopt the law of excluded middle of formal logic, neither very both false, judge then and reasoning, reach a conclusion.Existing computing machine all is based upon on the two-valued function basis, and it has brought into play enormous function aspect the determinacy of handling objective things, but does not but possess the things of processing and the uncertainty of notion or the ability of ambiguity.
In order to make computing machine can simulate the characteristics of human brain high-grade intelligent, just the diagnostic cast fuzzy logic must be forwarded to computing machine on the multi valued logic basis.
The 3rd, utilize the theoretical and one-tenth computer approach of behaviouristics.
A kind of method of discerning based on the area of computer aided of human behavior science has especially realized the accuracy based on the area of computer aided identifying of human behavior science.
Claims (3)
1. a method of discerning based on the area of computer aided of human behavior science is in order to overcome existing computing machine to the relatively poor situation of blooming recognition capability, in order to improve the ability of computer Recognition blooming, just the fuzzy language that people use always need be designed to receptible instruction of machine and program, so that machine can be as human brain the succinct corresponding judgment of making flexibly, thereby improve the efficient of identification automatically and control blooming, the invention provides a kind of method of discerning based on the area of computer aided of human behavior science, this invention has realized it is characterized in that based on the accuracy of the procedure of the area of computer aided identification of human behavior science:
Its key step comprises:
1. research theory of fuzzy mathematics, and the relation of it and accurate mathematical, random mathematics;
2. study fuzzing linguistics and fuzzy logic.People's natural language has ambiguity, and people often accept fuzzy language and fuzzy message, and can make correct identification and judgement;
3. utilize the theoretical and one-tenth computer approach of behaviouristics;
2, described in 1, the research theory of fuzzy mathematics, and the feature of the relation of it and accurate mathematical, random mathematics is:
According to examining moral, and consider the collective concept of mathematics is made amendment and promoted based on the accurate mathematical set theory.He proposes with " fuzzy set " mathematical model as the fuzzy things of performance.And on " fuzzy set ", progressively set up computing, rule of conversion, carry out relevant theoretical research, just might construct a large amount of fuzzy Fundamentals of Mathematics in the research real world, can be to the mathematical method of it seems that quite complicated fuzzy system is carried out quantitative description and processing.
In fuzzy set, the given range interior element not necessarily has only two kinds of situations of "Yes" or "No" to its membership, but uses the real number between 0 and 1 to represent subjection degree, also has the middle transition state.Such as " old man " is fuzzy concept, 70 years old belong to the old man certainly, its subordinate degree is 1,40 years old people does not include the old man certainly, and its subordinate degree is 0, according to looking into the formula that moral provides, the degree that belonged to " always " in 55 years old is 0.5, i.e. " half old " belonged to the degree 0.8 of " always " in 60 years old.Look into moral and think, indicate the set that is subordinate to of each element, just equal to have specified a set.When being under the jurisdiction of when being worth between 0 and 1, be exactly fuzzy set
3, described in 1, research fuzzing linguistics and fuzzy logic.People's natural language has ambiguity, and people often accept fuzzy language and fuzzy message, and the feature that can make correct identification and judgement is:
In order to realize carrying out direct dialogue with computing machine with natural language, just must refine into mathematical model to the mankind's language and thought process, could give the computing machine input instruction, the fuzzy mathematical model of setting up and being, this is the key of utilization mathematical method.Look into moral and adopt Fuzzy Set Theory to set up the mathematical model of fuzzy language, make human language quantification, formalization.
If we are decided to be 1 to the membership function value of the standard sentence of grammatical, so, other syntax are wrong slightly, but still can express the sentence of similar thought, just can characterize the subjection degree that it is subordinated to " correct sentence " in order to the consecutive numbers between 0 to 1.Like this, just fuzzy language is quantitatively described, and makes a cover computing, transformation rule.At present, fuzzy language is also very immature, and the linguist furthers investigate.
People's thinking activities usually require the determinacy and the accuracy of notion, adopt the law of excluded middle of formal logic, neither very both false, judge then and reasoning, reach a conclusion.Existing computing machine all is based upon on the two-valued function basis, and it has brought into play enormous function aspect the determinacy of handling objective things, but does not but possess the things of processing and the uncertainty of notion or the ability of ambiguity.
In order to make computing machine can simulate the characteristics of human brain high-grade intelligent, just must utilization multi valued logic method realize fuzzy logic.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CNA2007100423843A CN101344936A (en) | 2007-06-21 | 2007-06-21 | Computer aided recognition method based on behavior science |
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| Application Number | Priority Date | Filing Date | Title |
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| CNA2007100423843A CN101344936A (en) | 2007-06-21 | 2007-06-21 | Computer aided recognition method based on behavior science |
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| CN101344936A true CN101344936A (en) | 2009-01-14 |
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| CNA2007100423843A Withdrawn CN101344936A (en) | 2007-06-21 | 2007-06-21 | Computer aided recognition method based on behavior science |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108874380A (en) * | 2017-04-17 | 2018-11-23 | 湖南本体信息科技研究有限公司 | Method, logical inference machine and the class brain artificial intelligence service platform of computer simulation human brain learning knowledge |
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2007
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108874380A (en) * | 2017-04-17 | 2018-11-23 | 湖南本体信息科技研究有限公司 | Method, logical inference machine and the class brain artificial intelligence service platform of computer simulation human brain learning knowledge |
| CN108874380B (en) * | 2017-04-17 | 2021-06-25 | 湖南本体信息科技研究有限公司 | Method for simulating human brain learning knowledge by computer, logic inference machine and brain-like artificial intelligence service platform |
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