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＜電子ブック＞
Fuzzy Logic in Artificial Intelligence : IJCAI '93 Workshop, Chamberry, France, August 28, 1993. Proceedings / edited by Anca Ralescu
(Lecture Notes in Artificial Intelligence. ISSN:29459141 ; 847)

版	1st ed. 1994.
出版者	Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer
出版年	1994
本文言語	英語
大きさ	VIII, 136 p : online resource
著者標目	Ralescu, Anca editor SpringerLink (Online service)
件　名	LCSH:Artificial intelligence LCSH:Mathematical logic LCSH:Pattern recognition systems LCSH:Computer-aided engineering LCSH:Computers FREE:Artificial Intelligence FREE:Mathematical Logic and Foundations FREE:Automated Pattern Recognition FREE:Computer-Aided Engineering (CAD, CAE) and Design FREE:Computer Hardware
一般注記	Fuzzy reinforcement Learning and dynamic programming -- Fuzzy sets, fuzzy clustering and fuzzy rules in AI -- Robust execution of robot plans using fuzzy logic -- Fuzzy logic, inductive and analogical reasoning -- Possibility theory, belief revision and nonmonotonic logic -- Querying a database with fuzzy attribute values by iterative updating of the selection criteria -- Learning fuzzy membership functions in a function-based object recognition system -- A factor space approach to concept representation -- Connectionist fuzzy production systems This volume constitutes the proceedings of the Second Fuzzy Logic in AI Workshop, held in conjunction with IJCAI '93 in Chambéry, France in August 1993. The book contains full revised versions of the papers presented at the workshop and covers several aspects of fuzzy logic in contributions from renowned researchers. This volume reflects the aim of the workshop, namely to serve as a platform for fruitful contacts between fuzzy engineering researchers interested in AI and AI researchers interested in fuzzy logic applications in engineering: when it comes to designing intelligent systems they are confronted with the same problems and questions and hope for the same successful results HTTP:URL=https://doi.org/10.1007/3-540-58409-9

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