| Title:
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MATHEMATICAL AND STATISTICAL METHODS IN ARTIFICIAL INTELLIGENCE
PROCEEDINGS OF THE ISSEK94 WORKSHOP ON MATHEMATICAL AND STATISTICAL METHODS IN ARTIFICIAL INTELLIGENCE |
| By: |
G. Della Riccia (Editor), Rudolf Kruse (Editor), Reinhard Viertl (Editor) |
| Format: |
Paperback |
| List price:
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£76.50 |
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| ISBN 10: |
3211827137 |
| ISBN 13: |
9783211827130 |
| Publisher: |
SPRINGER VERLAG GMBH |
| Edition: |
1995 ed. |
| Series: |
CISM International Centre for Mechanical Sciences No. 363 |
| Pages: |
264 |
| Description: |
An important part of the Artificial Intelligence theory is concerned with reasoning based on uncertain information. Classical logic and probability theory are not adequate for this, and many formalisms have been developed. The proceedings contained here aim to contribute to the elucidation of similarities and differences between these formalisms. |
| 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. |
| Illustrations: |
13 black & white illustrations, biography |
| Publication: |
Austria |
| Imprint: |
Springer Verlag GmbH |
| Returns: |
Returnable |