Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Proceedings of the Issek94 Workshop on Mathematical and Statistical Methods in Artificial Intelligence

Proceedings of the Issek94 Workshop on Mathematical and Statistical Methods in Artificial Intelligence

Della Riccia, G.
Kruse, R.
Viertl, R.

Hardcover

Series: CISM International Centre for Mechanical Sciences, Book 363

Technology & EngineeringGeneral ComputersProbability & Statistics

ISBN10: 3211827137
ISBN13: 9783211827130
Publisher: Springer Nature
Published: Jul 13 1995
Pages: 256
Weight: 0.95
Height: 0.56 Width: 6.69 Depth: 9.61
Language: English
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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