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Table of contents

  1. Front Matter
  2. Don Banks, Peter van Beek, Amnon Meisels
    Pages 16-29
  3. Guy W. Mineau, Mounsif Lahboub, Jean-Marie Beaulieu
    Pages 72-85
  4. Suhayya Abu-Hakima, Ramiro Liscano, Roger Impey
    Pages 99-113
  5. Jean Berger, Martin Salois, Regent Begin
    Pages 114-127
  6. Udo Hahn, Klemens Schnattinger
    Pages 169-183
  7. Charles X. Ling, Bei Zhang
    Pages 184-195
  8. Ken Barker
    Pages 196-210
  9. Toby Donaldson, Robin Cohen
    Pages 220-227
  10. Darse Billings, Denis Papp, Jonathan Schaeffer, Duane Szafron
    Pages 228-238
  11. Jian Zhang, Howard J. Hamilton
    Pages 246-258
  12. Wanlin Pang, Scott D. Goodwin
    Pages 259-272
  13. Teresa Gonçalves, Fernando Moura-Pires
    Pages 273-284
  14. M. Sebban, A. M. Landraud-Lamole
    Pages 298-309
  15. B. Chaib-draa
    Pages 322-333
  16. James P. Delgrande, Arvind Gupta
    Pages 349-362
  17. Scott M. Brown, Eugene Santos Jr., Sheila B. Banks
    Pages 378-392
  18. Jun Liu, Kuo-Chu Chang, Jing Zhou
    Pages 393-410
  19. Eduardo Pérez, Larry Rendell
    Pages 411-425
  20. Aijun An, Nick Cercone
    Pages 426-441
  21. Susan L. Epstein, Jenngang Shih
    Pages 442-454
  22. Riverson Rios, Stan Matwin
    Pages 455-466
  23. Back Matter

About these proceedings

Introduction

This book constitutes the refereed proceedings of the 12th Biennial Conference of the Canadian Society for Computational Studies of Intelligence, AI'98, held in Vancouver, BC, Canada in June 1998.
The 28 revised full papers presented together with 10 extended abstracts were carefully reviewed and selected from a total of more than twice as many submissions. The book is divided in topical sections on planning, constraints, search and databases; applications; genetic algorithms; learning and natural language; reasoning; uncertainty; and learning.

Keywords

AI Planning Evolution Genetic Algorithms Information Retrieval Learning Reasoning artificial intelligence genetic operator genetic programming knowledge knowledge-based system machine learning neural network programming uncertainty

Bibliographic information

  • DOI https://doi.org/10.1007/3-540-64575-6
  • Copyright Information Springer-Verlag Berlin Heidelberg 1998
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Springer Book Archive
  • Print ISBN 978-3-540-64575-7
  • Online ISBN 978-3-540-69349-9
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • Buy this book on publisher's site