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Table of contents

  1. Cees Witteveen, Wiebe van der Hoek
    Pages 380-387
  2. Back Matter

About these proceedings

Introduction

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.

Keywords

Bayesian network Dynamic Reasoning Dynamisches Schließen Fuzzy Mengen Fuzzy Sets Möglichkeitstheorie Nichtmonotone Logik Possibility Theory artificial intelligence constraint satisfaction problem expert system intelligence knowledge base learning probabilistic network

Bibliographic information

  • DOI https://doi.org/10.1007/BFb0028174
  • Copyright Information Springer-Verlag Berlin Heidelberg 1993
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Springer Book Archive
  • Print ISBN 978-3-540-57395-1
  • Online ISBN 978-3-540-48130-0
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • Buy this book on publisher's site
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