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Learning and Reasoning with Complex Representations

PRICAI'96 Workshops on Reasoning with Incomplete and Changing Information and on Inducing Complex Representations Cairns, Australia, August 26–30, 1996 Selected Papers

  • Editors
  • Grigoris Antoniou
  • Aditya K. Ghose
  • Mirosław Truszczyński
Conference proceedings PRICAI 1996

Part of the Lecture Notes in Computer Science book series (LNCS, volume 1359)

Table of contents

  1. Front Matter
  2. Srinivas Padmanabhuni, Aditya K. Ghose
    Pages 1-8
  3. Grigoris Antoniou, Mary-Anne Williams
    Pages 9-44
  4. Srinivas Padmanabhuni, Randy Goebel, Koichi Furukawa
    Pages 45-60
  5. Henry E. Kyburg Jr.
    Pages 61-77
  6. Michael Bulmer
    Pages 78-91
  7. Aditya K. Ghose, Srinivas Padmanabhuni, Randy Goebel
    Pages 92-105
  8. Michael Harries, Kim Horn
    Pages 106-122
  9. Brendan McCane, Terry Caelli, Olivier de Vel
    Pages 123-132
  10. Srinivas Padmanabhuni, Jia-Huai You, Aditya Ghose
    Pages 133-147
  11. Michèle Sebag, Céline Rouveirol, Jean-François Puget
    Pages 148-167
  12. Nikos Karacapilidis, Dimitris Papadias
    Pages 188-205
  13. Mikhail Prokopenko, Pavlos Peppas
    Pages 234-247
  14. Angelo C. Restificar
    Pages 256-266
  15. Back Matter

Other volumes

  1. 4th Pacific Rim International Conference on Artificial Intelligence Cairns, Australia, August 26–30, 1996 Proceedings
  2. Learning and Reasoning with Complex Representations
    PRICAI'96 Workshops on Reasoning with Incomplete and Changing Information and on Inducing Complex Representations Cairns, Australia, August 26–30, 1996 Selected Papers

About these proceedings

Introduction

This book constitutes the thoroughly revised and refereed post-workshop documentation of two international workshops held in conjunction with the Pacific Rim International Conference on Artificial Intelligence, PRICAI'96, in Cairns, Australia, in August 1996.
The volume presents 14 revised full papers togehter with two invited contributions and two introductory surveys particularly commissioned for this book. Among the topics addressed are computational learning, commonsense reasoning, constraint logic programming, fuzzy reasoning, vague data, inductive inference, belief revision, action theory, uncertainty, and probabilistic diagnosis.

Keywords

Fuzzy action theory algorithmic learning algorithms artificial intelligence constraint logic programming fuzzy reasoning inductive inference intelligence learning programming uncertainty

Bibliographic information

  • DOI https://doi.org/10.1007/3-540-64413-X
  • Copyright Information Springer-Verlag Berlin Heidelberg 1998
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Springer Book Archive
  • Print ISBN 978-3-540-64413-2
  • Online ISBN 978-3-540-69780-0
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • Buy this book on publisher's site