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Table of contents

  1. Front Matter
  2. Liu Zuoshu, Zheng Quan
    Pages 33-40
  3. M. Squillante, A. G. S. Ventre, S. Weber
    Pages 41-46
  4. Loredana Biacino, Giangiacomo Gerla
    Pages 55-62
  5. Sergei Ovchinnikov
    Pages 79-86
  6. Daniel G. Schwartz
    Pages 87-92
  7. Gérard Battail, Rémi Sfez
    Pages 93-101
  8. Zbigniew Michalewicz, Lindsay J. Groves
    Pages 127-137
  9. Elsa Pascual, Laurence Cholvy
    Pages 138-145
  10. F. Bergadano, R. Bisio
    Pages 154-162
  11. Roberto Garigliano, Albert Bokma, Derek Long
    Pages 163-170
  12. R. Gemello, F. Mana
    Pages 171-178
  13. Mieczyslaw M. Kokar, David L. Rumpf, Bernard E. Sawaf
    Pages 179-184
  14. Xian-Tu Peng, Pei-zhuang Wang
    Pages 185-192
  15. Zbigniew W. Ras, Maria Zemankova
    Pages 193-200
  16. Vasco Mancini, Wyllis Bandler
    Pages 219-225
  17. Marialuisa N. McAllister
    Pages 226-230
  18. Nordvik J. -P., Smets Ph., Magrez P.
    Pages 231-238
  19. Su-shing Chen
    Pages 281-289
  20. Robert Bartolin, Vincent Bonniol, Elie Sanchez
    Pages 306-313
  21. M. Rosa Casals, Antonia Salas
    Pages 314-321
  22. E. Charpentier, J. P. Daurès, P. Dujols, F. Grémy
    Pages 322-329
  23. A. M. Petieau, A. Moreau, D. Willaeys
    Pages 373-384
  24. Sergio F. Garribba, Andrea Servida
    Pages 385-400

About these proceedings

Introduction

This book contains the papers presented at the 2nd IPMU Conference, held in Urbino (Italy), on July 4-7, 1988. The theme of the conference, Management of Uncertainty and Approximate Reasoning, is at the heart of many knowledge-based systems and a number of approaches have been developed for representing these types of information. The proceedings of the conference provide, on one hand, the opportunity for researchers to have a comprehensive view of recent results and, on the other, bring to the attention of a broader community the potential impact of developments in this area for future generation knowledge-based systems. The main topics are the following: frameworks for knowledge-based systems: representation scheme, neural networks, parallel reasoning schemes; reasoning techniques under uncertainty: non-monotonic and default reasoning, evidence theory, fuzzy sets, possibility theory, Bayesian inference, approximate reasoning; information theoretical approaches; knowledge acquisition and automated learning.

Keywords

Bayesian inference Fuzzy artificial intelligence expert system fuzzy logic human-computer interaction (HCI) intelligence intelligent systems knowledge base knowledge representation knowledge-based systems learning machine learning semantics uncertainty

Bibliographic information

  • DOI https://doi.org/10.1007/3-540-19402-9
  • Copyright Information Springer-Verlag Berlin Heidelberg 1988
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Springer Book Archive
  • Print ISBN 978-3-540-19402-6
  • Online ISBN 978-3-540-39255-2
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • Buy this book on publisher's site
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