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Fuzzy Logic in Artificial Intelligence: Towards Intelligent Systems Lecture Notes in Artificial Intelligence

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Fuzzy Logic in Artificial Intelligence: Towards Intelligent Systems Lecture Notes in Artificial Intelligence Synopsis

This thoroughly refereed and well organized collection of papers is largely based on papers originally presented at the IJCAI'95 Workshop on Fuzzy Logic in AI, held in Montreal, Canada, in August 1995. Additionally, a few papers were invited in order to round off the scope and competent coverage of relevant topics.
The 20 revised full papers included are organized in sections on hybrid and novel architectures, machine learning and data mining, image processing and computer vision, and theoretical developments. Focusing on the most pressing problems of AI, the volume supports the view that fuzzy systems combined with traditional AI leads the move towards the next generation of intelligent systems.

About This Edition

ISBN: 9783540624745
Publication date:
Author: Trevor Martin, Anca L Ralescu
Publisher: Springer an imprint of Springer Berlin Heidelberg
Format: Paperback
Pagination: 282 pages
Series: Lecture Notes in Computer Science
Genres: Mathematical logic
Automatic control engineering
Mathematical theory of computation
Artificial intelligence
Mathematical foundations

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