Symbolic and quantitative approaches to reasoning and uncertainty : European Conference, ECSQARU '95, Fribourg, Switzerland, July 3 5, 1995 : proceedings

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 (ES...

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Hlavní autor: Froidevaux, Christine, 19..-
Korporativní autor: European Conference on Symbolic and Quantitative Approaches to Reasoning and Uncertainty (Autor)
Další autoři: Kohlas, Jürg, 19..- (Šéfredaktor, odpovědný redaktor)
Médium: Livre numérique
Jazyk:Anglais
Vydáno: Berlin [etc.] : Springer [20..].
Cham : Springer Nature
Edice:Lecture notes in computer science. Lecture notes in artificial intelligence 946
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Edition sous un autre format:• Symbolic and quantitative approaches to reasoning and uncertainty, European Conference ECSQARU '95, Fribourg, Switzerland, July 3-5, 1995, proceedings, Christine Froidevaux, Jürg Kohlas (eds.), Berlin, Springer, 1995, 1 vol. (X-430 p.), Lecture notes in computer science, 3-540-60112-0
• Symbolic and Quantitative Approaches to Reasoning and Uncertainty, Texte imprimé, 9783662202029
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Shrnutí: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.
Popis jednotky:Archives Springer e-books (Licence nationale)
Archives Springer e-books (Licence nationale)
ISBN:9783540494386 (PDF)
ISSN:1611-3349
2945-9141
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