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Proceedings of the ISSEK94 Workshop on Mathematical and Statistical Methods in Artificial Intelligence

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Proceedings of the ISSEK94 Workshop on Mathematical and Statistical Methods in Artificial Intelligence Synopsis

In recent years it has become apparent that an important part of the theory of Artificial Intelligence is concerned with reasoning on the basis of uncertain, incomplete or inconsistent information. Classical logic and probability theory are only partially adequate for this, and a variety of other formalisms have been developed, some of the most important being fuzzy methods, possibility theory, belief function theory, non monotonic logics and modal logics.

The aim of this workshop was to contribute to the elucidation of similarities and differences between the formalisms mentioned above.

About This Edition

ISBN: 9783211827130
Publication date:
Author: G Della Riccia, R Kruse, R Viertl
Publisher: Springer an imprint of Springer Vienna
Format: Paperback
Pagination: 256 pages
Series: CISM International Centre for Mechanical Sciences
Genres: Artificial intelligence
Pattern recognition
Stochastics
Probability and statistics

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