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...
| Other Authors: | , , |
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| Format: | eBook |
| Language: | English |
| Published: |
Vienna
Springer Vienna
1995, 1995
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| Edition: | 1st ed. 1995 |
| Series: | CISM International Centre for Mechanical Sciences, Courses and Lectures
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| Subjects: | |
| Online Access: | |
| Collection: | Springer Book Archives -2004 - Collection details see MPG.ReNa |
| 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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| Physical Description: | VIII, 256 p. 13 illus online resource |
| ISBN: | 9783709126905 |