Editors:
- Includes supplementary material: sn.pub/extras
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)
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Front Matter
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Back Matter
About this book
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
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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