Fuzzy Logic in Artificial Intelligence
Editat de Anca Ralescuen Limba Engleză Paperback – 28 sep 1994
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.
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Specificații
ISBN-13: 9783540584094
ISBN-10: 3540584099
Pagini: 144
Ilustrații: VIII, 136 p.
Dimensiuni: 155 x 235 x 9 mm
Greutate: 0.23 kg
Ediția:1994
Editura: Springer
Locul publicării:Berlin, Heidelberg, Germany
ISBN-10: 3540584099
Pagini: 144
Ilustrații: VIII, 136 p.
Dimensiuni: 155 x 235 x 9 mm
Greutate: 0.23 kg
Ediția:1994
Editura: Springer
Locul publicării:Berlin, Heidelberg, Germany
Public țintă
ResearchCuprins
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.