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Download Artificial Intelligence with Uncertainty by Deyi Li, Yi Du PDF

By Deyi Li, Yi Du

Via mathematical theories, types, and experimental computations, this booklet explores the uncertainties of information and intelligence that take place throughout the cognitive methods of humans. It describes the cloud version, its uncertainties of randomness and fuzziness, and the correlation among them. The ebook additionally facilities on different actual equipment for info mining, resembling the information box and data discovery country house. moreover, it provides an inverted pendulum instance to debate reasoning and regulate with doubtful wisdom in addition to presents a cognitive physics version to imagine human pondering with hierarchy.

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Fm Page 27 Friday, August 17, 2007 4:29 PM Methodologies of AI 27 6. As other data, the program itself is represented by list structure. 7. Describes the constraint of the object as late as possible. 8. Capable of running interactively. These features of LISP are key to symbolic problem solving. In addition, the elegant list structure is also a convenient and powerful tool for further simplifying LISP programming (although with it comes the problem of too many brackets). , besides being used for symbolic calculus in mathematics.

79:2554–2558, 1982. 7. D. E. Rumelhart and J. L. McClelland, Parallel Distributed Processing: Explorations in the Microstructure of Cognition, MIT Press, Cambridge, MA, 1986. 8. , The Charming of Science, Preface, Science Press, Beijing, 2002. 9. G. Polya, How to Solve It: A New Aspect of Mathematical Method, Princeton University Press, New Jersey, 2004. 10. Deyi Li and Dongbo Liu, A Fuzzy PROLOG Database System, John Wiley & Sons, New York, 1990. 11. , Artificial Life and Its Application, pp. 22–26, University of Posts and Telecommunications Press, Beijing, 2004.

Smyth, and R. , Advances in Knowledge Discovery and Data Mining: AAA/MIT Press, Cambridge, MA, 1996. 28. D. Thesis), PLA University of Science and Technology, Nanjing, 2000. 29. Xinsong Jiang, The Introduction of Robotics, Liaoning Science and Technology Press, Shenyang, 1994. 30. Yuehong Yin, Zhongxin Wei, and Xiaoxi Huang, Force Sensor and Force Control Technology of Intelligent Machine Systems, National Defence Industry Press, Beijing, 2001. 31. Hao Wang and Zongyuan Mao, Intelligent Control Approach of Robot, National Defence Industry Press, Beijing, 2002.

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