IPMU '92—Advanced Methods in Artificial Intelligence

4th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems Palma de Mallorca, Spain, July 6–10, 1992 Proceedings

  • Editors
  • Bernadette Bouchon-Meunier
  • Llorenç Valverde
  • Ronald R. Yager
Conference proceedings IPMU 1992

Part of the Lecture Notes in Computer Science book series (LNCS, volume 682)

Table of contents

  1. Front Matter
  2. Didier Dubois, Henri Prade
    Pages 1-12
  3. C. Cayrol, V. Royer, C. Saurel
    Pages 13-22
  4. Nacéra Madani
    Pages 53-62
  5. Miquel Monserrat, Francesc Rosselló, Joan Torrens
    Pages 63-72
  6. Gughelmo Tamburrini, Settimo Termini
    Pages 101-108
  7. Paul Krause, Simon Ambler, John Fox
    Pages 109-118
  8. Thierry Arnould, Anca Ralescu
    Pages 119-128
  9. Eugene Eberbach, André Trudel
    Pages 129-138
  10. Piero P. Bonissone, Saad Ayub
    Pages 159-172
  11. A. Sutherland, R. Henery, R. Molina, C. C. Taylor, R. King
    Pages 173-182
  12. Anio O. Arigoni, Cesare Furlanello, Vittorio Maniezzo
    Pages 192-198

About these proceedings


The papers in this volume are extended versions of presentations at the fourth International Conference on Information Processing and Management of Uncertainty in Knowledge-based Systems (IPMU), held in Palma de Mallorca, July 6-10, 1992. The conference focused on issues related to the acquisition, representation, management, and transmission of information in knowledge-based and decision-making systems. The book is focused on methodologies related to artificial intelligence, including both theoretical and applied papers. The first section of the book is devoted to non-monotonic reasoning and the managementof default knowledge. The second section deals with methods using non-classical logics to deal with imperfect knowledge and to represent its spatial and temporal components. The third section presents various methods for the acquisition of uncertain and imprecise knowledge. The fourthsection is concerned with the use of qualitative, uncertain, temporal, and ambiguous pieces of information in knowledge-based systems, expert systems, and process controllers. The last section contains papers using artificial neural network methodologies.


artificial intelligence artificial neural network expert system intelligence knowledge knowledge-based system knowledge-based systems neural network nonmonotonic reasoning uncertainty

Bibliographic information

  • DOI
  • Copyright Information Springer-Verlag 1993
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Springer Book Archive
  • Print ISBN 978-3-540-56735-6
  • Online ISBN 978-3-540-47643-6
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • Buy this book on publisher's site
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