Table of contents

  1. Front Matter
  2. Salem Benferhat, Didier Dubois, Henri Prade
    Pages 17-24
  3. Francesco Bergadano, Vincenzo Cutello
    Pages 25-32
  4. Remco R. Bouckaert
    Pages 49-56
  5. Luis M. de Campos, Juan F. Huete
    Pages 57-64
  6. Maria R. Cravo, João P. Martins
    Pages 65-72
  7. J. C. Cubero, J. M. Medina, M. A. Vila
    Pages 73-78
  8. Morten Elvang-Gøransson, Paul J. Krause, John Fox
    Pages 85-90
  9. Joeri Engelfriet, Jan Treur
    Pages 91-96
  10. L. Fariñas del Cerro, A. Herzig
    Pages 105-112
  11. Christophe Fouqueré, Jacqueline Vauzeilles
    Pages 121-128
  12. Dov Gabbay, Anthony Hunter
    Pages 137-144

About these proceedings


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.


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
  • Copyright Information Springer-Verlag 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
  • About this book
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