Froidevaux Symbolic and Quantitative Approaches to Reasoning and Uncertainty

Symbolic and Quantitative Approaches to Reasoning and Uncertainty

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European Conference, ECSQARU '95, Fribourg, Switzerland, July 3-5, 1995. Proceedings

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Beschreibung

This volume constitutes the 48 full refereed research papers accepted for presentation at the Third European Conference on Symbolic and Quantitative Approaches to Reasoning and Uncertainty, ECSQARU '95, held in Fribourg, Switzerland in July 1995 under the sponsorship of the DRUMS consortium (ESPRIT II BRA 6156).
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.

Autor*in

Christine Froidevaux

Themen in »Symbolic and Quantitative Approaches to Reasoning and Uncertainty«

Bayesian network Evidence Theory Evidenztheorie Fuzzy Sets Fuzzy-Mengen Möglichkeitstheorie Nichtklassische Logiken Possibility automated reasoning knowledge base knowledge representation learning modeling semantics uncertain reasoning

Stimmen zu »Symbolic and Quantitative Approaches to Reasoning and Uncertainty«

Details

ISBN: 9783540494386
Verlag: Springer Berlin
Erscheinung: 11.07.2005

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