Proceedings of the ISSEK94 Workshop on Mathematical and Statistical Methods in Artificial Intelligence /
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 fo...
| Corporate Authors: | , , , |
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| Other Authors: | , , |
| Format: | Conference Proceeding eBook |
| Language: | English |
| Published: |
Wien ; New York :
Springer-Verlag,
[1995]
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| Series: | Courses and lectures ;
no. 363. |
| Subjects: | |
| Online Access: | Connect to the full text of this electronic book |
| Summary: | 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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| Item Description: | "International Centre for Mechanical Sciences." "ISSEK Workshop ... 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. |
| Physical Description: | 1 online resource (256 pages) : illustrations. |
| Bibliography: | Includes bibliographical references. |
| ISBN: | 9783709126905 (electronic bk.) 3709126908 (electronic bk.) |