In recent years, it has become apparent that an important part of the theory of AI is concerned with reasoning on the basis of uncertain, vague, incomplete, or inconsistent information. A variety of nonclassical formalisms, both symbolic and numerical, have been developed and are addressed in this volume; among them are nonmonotonic and modal logics, fuzzy sets, possibility theory, believe functions, evidence theory, dynamic models, and Bayesian networks.
In recent years, it has become apparent that an important part of the theory of AI is concerned with reasoning on the basis of uncertain, vague, incomplete, or inconsistent information. A variety of nonclassical formalisms, both symbolic and numerical, have been developed and are addressed in this volume; among them are nonmonotonic and modal logics, fuzzy sets, possibility theory, believe functions, evidence theory, dynamic models, and Bayesian networks.

Symbolic and Quantitative Approaches to Reasoning and Uncertainty: European Conference, ECSQARU '95, Fribourg, Switzerland, July 3-5, 1995. Proceedings
438
Symbolic and Quantitative Approaches to Reasoning and Uncertainty: European Conference, ECSQARU '95, Fribourg, Switzerland, July 3-5, 1995. Proceedings
438Paperback(1995)
Product Details
ISBN-13: | 9783540601128 |
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Publisher: | Springer Berlin Heidelberg |
Publication date: | 08/08/1995 |
Series: | Lecture Notes in Computer Science , #946 |
Edition description: | 1995 |
Pages: | 438 |
Product dimensions: | 6.10(w) x 9.25(h) x 0.36(d) |