Proceedings of the ISSEK94 Workshop on Mathematical and Statistical Methods in Artificial Intelligence
著者
書誌事項
Proceedings of the ISSEK94 Workshop on Mathematical and Statistical Methods in Artificial Intelligence
（CISM courses and lectures, no. 363）
Springer, c1995
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注記
"ISSEK94 Workshop on 'Mathematical and Statistical Methods in Artificial Intelligence' organized by the International School for the Synthesis of Expert Knowledge (ISSEK) and held at the Centre International des Sciences Mécaniques (CISM) in Udine from September 6 to 8, 1994."--Pref
Includes bibliographical references
内容説明・目次
内容説明
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.
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