Format:
Online-Ressource (128 S.)
Edition:
Online-Ausg. Berlin [u.a.] Springer 2006 Springer lecture notes archive
ISBN:
9783540487807
Series Statement:
Lecture notes in computer science 847
Content:
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.
Content:
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.
Note:
Literaturangaben
Additional Edition:
ISBN 3540584099
Additional Edition:
ISBN 9783540584094
Additional Edition:
Erscheint auch als Druck-Ausgabe Fuzzy logic in artificial intelligence Berlin : Springer, 1994 ISBN 3540584099
Additional Edition:
ISBN 0387584099
Language:
English
Subjects:
Computer Science
Keywords:
Künstliche Intelligenz
;
Fuzzy-Logik
;
Konferenzschrift
DOI:
10.1007/3-540-58409-9
URL:
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