By Deyi Li, Yi Du
Via mathematical theories, types, and experimental computations, this e-book explores the uncertainties of data and intelligence that happen in the course of the cognitive approaches of humans. It describes the cloud version, its uncertainties of randomness and fuzziness, and the correlation among them. The booklet additionally facilities on different actual equipment for info mining, resembling the knowledge box and information discovery kingdom area. moreover, it offers an inverted pendulum instance to debate reasoning and keep watch over with doubtful wisdom in addition to presents a cognitive physics version to imagine human pondering with hierarchy.
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Extra resources for Artificial Intelligence with Uncertainty
Usually, three steps are taken in rule choice and execution: 1. Matching: That is to match the current facts base with the precondition of the rule. If there is a perfect match, then the rule is referred to as a fired rule. It is possible that the preconditions of a number of rules are met at the same time, hence arises the conflict. Of all the fired rules, only one is executed and this one is called an enabling rule. When there is a conflict, one rule must be chosen as enabled from among a number of fired rules.
19. A. Barr and E. A. Feigenbaum, The Art of AI: Themes and Case Studies of Knowledge Engineering, In: Proceedings of the 5th International Joint Conference on Artificial Intelligence, Vol. 5: 1014–1029, 1977. 20. Yaohua Lu, Thinking Simulation and Knowledge Engineering, Tsinghua University Press, Beijing, 1997. 21. , Development and Expectation of Science Technology— Academicians Discuss Science, pp. 123–132, Shandong Education Press, Jinan, 2002. 22. A. Barr, P. R. Cohen, and E. A. Feigenbaum, The Handbook of Artificial Intelligence, Vol.
Thus, the basic units of describing cognitive and intellectual activities in the learning rule are the variants of discrete subsymbol values rather than just the abstract discrete symbols that have nothing to do with biology. By doing so, the ANN has made a great leap forward toward bionics and is further approaching the neuronal constituency of the human brain on a microscale. Therefore, the proposal of ANN is regarded as a revolution, one that can be called the transformation of research methodology in cognitive science from symbolism to connectionism.
Artificial Intelligence with Uncertainty by Deyi Li, Yi Du