[1]WANG Peizhuang.Factor space-mathematical basis of mechanism based artificial intelligence theory[J].CAAI Transactions on Intelligent Systems,2018,13(1):37-54.[doi:10.11992/tis.201711034]
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CAAI Transactions on Intelligent Systems[ISSN 1673-4785/CN 23-1538/TP] Volume:
13
Number of periods:
2018 1
Page number:
37-54
Column:
综述
Public date:
2018-01-24
- Title:
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Factor space-mathematical basis of mechanism based artificial intelligence theory
- Author(s):
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WANG Peizhuang
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College of Intelligence Engineering and Mathematics, Liaoning Technical University, Fuxin 123000, China
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- Keywords:
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mechanism-based artificial intelligence theory; factor space theory; formal concept analysis; rough sets; fuzzy sets; falling shadow theory; background relation; datamining
- CLC:
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TP18
- DOI:
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10.11992/tis.201711034
- Abstract:
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Based on using the intelligent growth mechanism, the mechanism-based artificial intelligence theory organically unifies the structure, function, and behaviorism of three genres to form a trinity of consciousness, emotion, and reason. Factor space is the mathematical basis of mechanism-based artificial intelligence theory, which promotes mathematical branches such as formal concept analysis, rough sets, and fuzzy sets, and provides a universal coordinate framework for the description and cognition of things. Data can be represented as visual sampling points in the space and then be cultivated to form the population distribution of the background relation. Based on their relationship, concept generation and causality analysis can be performed automatically, and all rational thinking processes, such as prediction, identification, control, evaluation and decision making, can be performed by factorial algorithms. In this article, we focus on ways to describe formal information (i.e., grammatical information), predict utility information (i.e., pragmatic information) from formal information, and correlate them to generate abstract semantic information, which is helpful for mathematically describing the first established law of information transformation in mechanism-based artificial intelligence theory. We also use factor space theory in chess Tic-Tac-Toe to demonstrate how to dock the target and chess factors, which may provide a clue for how to mathematically describe the second law of information transformation. We also provide a brief history to help readers gain a more comprehensive understanding of the factor space theory.