Advances in Artificial Intelligence

1. Front Matter

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2. Sokoban: Evaluating standard single-agent search techniques in the presence of deadlock

   • Andreas Junghanns, Jonathan Schaeffer

   Pages 1-15

3. A heuristic incremental modeling approach to course timetabling

   • Don Banks, Peter van Beek, Amnon Meisels

   Pages 16-29

4. Planning strategy representation in DoLittle

   • Jacky Baltes

   Pages 30-44

5. Establishing logical connectivity between query keywords and database contents

   • Dong-Guk Shin, Lung-Yung Chu

   Pages 45-59

6. Test-driving tanka: Evaluating a semi-automatic system of text analysis for knowledge acquisition

   • Ken Barker, Sylvain Delisle, Stan Szpakowicz

   Pages 60-71

7. An object indexing methodology as support to object recognition

   • Guy W. Mineau, Mounsif Lahboub, Jean-Marie Beaulieu

   Pages 72-85

8. Oracles and assistants: Machine learning applied to network supervision

   • Richard Nock, Babak Esfandiari

   Pages 86-98

9. A common multi-agent testbed for diverse seamless personal information networking applications

   • Suhayya Abu-Hakima, Ramiro Liscano, Roger Impey

   Pages 99-113

10. A hybrid genetic algorithm for the vehicle routing problem with time windows

    • Jean Berger, Martin Salois, Regent Begin

    Pages 114-127

11. Maintaining genetic diversity in genetic algorithms through co-evolution

    • Jason Morrison, Franz Oppacher

    Pages 128-138

12. The effect of genetic operator probabilities and selection strategies on the performance of a genetic algorithm

    • Kay Wiese, Scott D. Goodwin

    Pages 139-153

13. The impact of external dependency in genetic programming primitives

    • Una-May O'Reilly

    Pages 154-168

14. Quality control in the concept learning process

    • Udo Hahn, Klemens Schnattinger

    Pages 169-183

15. Grapheme generation in learning to read english words

    • Charles X. Ling, Bei Zhang

    Pages 184-195

16. A trainable bracketer for noun modifiers

    • Ken Barker

    Pages 196-210

17. Lessons learned in the development and implementation of a bilingual nationally accessible knowledge-based system

    • Brett Hodges, Larry Hodgson

    Pages 211-219

18. Selecting the next action with constraints

    • Toby Donaldson, Robin Cohen

    Pages 220-227

19. Poker as a testbed for AI research

    • Darse Billings, Denis Papp, Jonathan Schaeffer, Duane Szafron

    Pages 228-238

20. Fault prediction in the telephone access loop using a neural network

    • Bengt R. Knudsen

    Pages 239-245

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.

• 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

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