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Fuzzy Logic in Artificial Intelligence

IJCAI '93 Workshop, Chamberry, France, August 28, 1993. Proceedings

  • Conference proceedings
  • © 1994

Overview

Editors:
  1. Anca L. Ralescu
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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 847)

Part of the book sub series: Lecture Notes in Artificial Intelligence (LNAI)

Included in the following conference series:

Conference proceedings info: FLAI 1993.

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Table of contents (9 papers)

  1. Front Matter

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  2. Fuzzy reinforcement Learning and dynamic programming

    • Hamid R. Berenji
    Pages 1-9

  3. Fuzzy sets, fuzzy clustering and fuzzy rules in AI

    • J. F. Baldwin
    Pages 10-23

  4. Robust execution of robot plans using fuzzy logic

    • Alessandro Saffiotti, Enrique H. Ruspini, Kurt Konolige
    Pages 24-37

  5. Fuzzy logic, inductive and analogical reasoning

    • B. Bouchon-Meunier, M. Ramdani, L. Valverde
    Pages 38-50

  6. Possibility theory, belief revision and nonmonotonic logic

    • Didier Dubois, Henri Prade
    Pages 51-61

  7. Querying a database with fuzzy attribute values by iterative updating of the selection criteria

    • J. F. Baldwin, M. R. Coyne, T. P. Martin
    Pages 62-76

  8. Learning fuzzy membership functions in a function-based object recognition system

    • Kevin Woods, Diane Cook, Lawrence Hall, Louise Stark, Kevin Bowyer
    Pages 77-96

  9. A factor space approach to concept representation

    • Foong Sew Bun, Wang Pei Zhuang
    Pages 97-113

  10. Connectionist fuzzy production systems

    • Nikola K. Kasabov
    Pages 114-128

  11. Back Matter

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Other volumes

  1. Fuzzy Logic in Artificial Intelligence

Keywords

About this book

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.

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