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Symbolic and Quantitative Approaches to Reasoning and Uncertainty

European Conference ECSQARU '93, Granada, Spain, November 8-10, 1993. Proceedings

  • Conference proceedings
  • © 1993

Overview

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 747)

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Table of contents (50 papers)

Keywords

About this book

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. A variety of formalisms have been developed, including nonmonotonic logic, fuzzy sets, possibility theory, belief functions, and dynamic models of reasoning such as belief revision and Bayesian networks. Several European research projects have been formed in the area and the first European conference was held in 1991. This volume contains the papers accepted for presentation at ECSQARU-93, the European Conference on Symbolicand Quantitative Approaches to Reasoning and Uncertainty, held at the University of Granada, Spain, November 8-10, 1993.

Bibliographic Information

  • Book Title: Symbolic and Quantitative Approaches to Reasoning and Uncertainty

  • Book Subtitle: European Conference ECSQARU '93, Granada, Spain, November 8-10, 1993. Proceedings

  • Editors: Michael Clarke, Rudolf Kruse, Serafín Moral

  • Series Title: Lecture Notes in Computer Science

  • DOI: https://doi.org/10.1007/BFb0028174

  • Publisher: Springer Berlin, Heidelberg

  • eBook Packages: Springer Book Archive

  • Copyright Information: Springer-Verlag Berlin Heidelberg 1993

  • Softcover ISBN: 978-3-540-57395-1Published: 20 October 1993

  • eBook ISBN: 978-3-540-48130-0Published: 23 November 2005

  • Series ISSN: 0302-9743

  • Series E-ISSN: 1611-3349

  • Edition Number: 1

  • Number of Pages: XII, 396

  • Topics: Artificial Intelligence

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