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Fuzzy Logic in Artificial Intelligence

IJCAI'97 Workshop Nagoya, Japan, August 23-24, 1997 Selected and Invited Papers

  • Conference proceedings
  • © 1999

Overview

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 1566)

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

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Table of contents (16 papers)

Keywords

About this book

This volume constitutes the thoroughly refereed post-workshop proceedings of an international workshop on fuzzy logic in Artificial Intelligence held in Negoya, Japan during IJCAI '97.
The 17 revised full papers presented have gone through two rounds of reviewing and revision. Three papers by leading authorities in the area are devoted to the general relevance of fuzzy logic and fuzzy sets to AI. The remaining papers address various relevant issues ranging from theory to application in areas like knowledge representation, induction, logic programming, robotics, pattern recognition, etc.

Bibliographic Information

  • Book Title: Fuzzy Logic in Artificial Intelligence

  • Book Subtitle: IJCAI'97 Workshop Nagoya, Japan, August 23-24, 1997 Selected and Invited Papers

  • Editors: Anca L. Ralescu, James G. Shanahan

  • Series Title: Lecture Notes in Computer Science

  • DOI: https://doi.org/10.1007/BFb0095066

  • Publisher: Springer Berlin, Heidelberg

  • eBook Packages: Springer Book Archive

  • Copyright Information: Springer-Verlag Berlin Heidelberg 1999

  • Softcover ISBN: 978-3-540-66374-4Published: 28 July 1999

  • eBook ISBN: 978-3-540-48358-8Published: 15 November 2006

  • Series ISSN: 0302-9743

  • Series E-ISSN: 1611-3349

  • Edition Number: 1

  • Number of Pages: CCLXIV, 254

  • Topics: Artificial Intelligence, Mathematical Logic and Formal Languages

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