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Symbolic and Quantitative Approaches to Reasoning and Uncertainty

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

  • Conference proceedings
  • © 1995

Overview

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 946)

Part of the book sub series: Lecture Notes in Artificial Intelligence (LNAI)

Included in the following conference series:

Conference proceedings info: ECSQARU 1995.

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Table of contents (48 papers)

Other volumes

  1. Symbolic and Quantitative Approaches to Reasoning and Uncertainty

Keywords

About this book

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.

Bibliographic Information

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

  • Book Subtitle: European Conference, ECSQARU '95, Fribourg, Switzerland, July 3-5, 1995. Proceedings

  • Editors: Christine Froidevaux, Jürg Kohlas

  • Series Title: Lecture Notes in Computer Science

  • DOI: https://doi.org/10.1007/3-540-60112-0

  • Publisher: Springer Berlin, Heidelberg

  • eBook Packages: Springer Book Archive

  • Copyright Information: Springer-Verlag Berlin Heidelberg 1995

  • Softcover ISBN: 978-3-540-60112-8Published: 26 June 1995

  • eBook ISBN: 978-3-540-49438-6Published: 11 July 2005

  • Series ISSN: 0302-9743

  • Series E-ISSN: 1611-3349

  • Edition Number: 1

  • Number of Pages: X, 438

  • Topics: Artificial Intelligence, Mathematical Logic and Formal Languages

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