Advances in Artificial Intelligence

1. Front Matter

   Pages I-XII

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2. Agents - 1

   1. Modeling Organizational Rules in the Multi-agent Systems Engineering Methodology

      • Scott A. DeLoach

      Pages 1-15

   2. AERO: An Outsourced Approach to Exception Handling in Multi-agent Systems

      • David Chen, Robin Cohen

      Pages 16-30

   3. A Learning Algorithm for Buying and Selling Agents in Electronic Marketplaces

      • Thomas Tran, Robin Cohen

      Pages 31-43

3. Search - 1

   1. Grid-Based Path-Finding

      • Peter Yap

      Pages 44-55

   2. Transposition Table Driven Work Scheduling in Distributed Game-Tree Search

      • Akihiro Kishimoto, Jonathan Schaeffer

      Pages 56-68

   3. Clue as a Testbed for Automated Theorem Proving

      • Eric Neufeld

      Pages 69-78

4. Neural Nets

   1. A Noise Filtering Method for Inductive Concept Learning

      • George V. Lashkia

      Pages 79-89

   2. The Task Rehearsal Method of Life-Long Learning: Overcoming Impoverished Data

      • Daniel L. Silver, Robert E. Mercer

      Pages 90-101

5. Invited Talk

   1. Recycling the Cycle of Perception: A Polemic

      • Alan Mackworth

      Pages 102-103

6. Search - 2

   1. Generalized Arc Consistency with Application to MaxCSP

      • Michael C. Horsch, William S. Havens, Aditya K. Ghose

      Pages 104-118

   2. Two-Literal Logic Programs and Satisfiability Representation of Stable Models: A Comparison

      • Guan-Shieng Huang, Xiumei Jia, Churn-Jung Liau, Jia-Huai You

      Pages 119-131

   3. Using Communicative Acts to Plan the Cinematographic Structure of Animations

      • Kevin Kennedy, Robert E. Mercer

      Pages 132-146

7. Learning

   1. Mining Incremental Association Rules with Generalized FP-Tree

      • Christie I. Ezeife, Yue Su

      Pages 147-160

   2. Topic Discovery from Text Using Aggregation of Different Clustering Methods

      • Hanan Ayad, Mohamed Kamel

      Pages 161-175

   3. Genetic Algorithms for Continuous Problems

      • James R. Parker

      Pages 176-184

8. Probability

   1. On the Role of Contextual Weak Independence in Probabilistic Inference

      • Cory J. Butz, Manon J. Sanscartier

      Pages 185-194

   2. A Structural Characterization of DAG-Isomorphic Dependency Models

      • S. K. M. Wong, Dan Wu, Tao Lin

      Pages 195-209

   3. Construction of a Non-redundant Cover for Conditional Independencies

      • S. K. M. Wong, Tao Lin, Dan Wu

      Pages 210-220

9. Agents - 2

   1. Using Inter-agent Trust Relationships for Efficient Coalition Formation

      • Silvia Breban, Julita Vassileva

      Pages 221-236

The AI conference series is the premier event sponsored by the Canadian - ciety for the Computational Studies of Intelligence / Soci´et´e canadienne pour l’´etude d’intelligence par ordinateur. Attendees enjoy our typically Canadian - mosphere –hospitable and stimulating. The Canadian AI conference showcases the excellent research work done by Canadians, their international colleagues, and others choosing to join us each spring. International participation is always high; this year almost 40% of the submitted papers were from non-Canadian - searchers. We accepted 24 papers and 8 poster papers from 52 full-length papers submitted. We also accepted eight of ten abstracts submitted to the Graduate Student Symposium. All of these accepted papers appear in this volume. The Canadian AI Conference is the oldest continuously-held national AI c- ference in the world. (ECCAI’s predecessor, AISB, held meetings in 1974, but these have since become international.) Conferences have been held biennially since 1976, and annually since 2000. AI 2002 again joined its sister Canadian computer science conferences, Vision Interface and Graphics Interface, enri- ing the experience for all participants. The joint meeting allows us to stay - formed about other areas, to make new contacts, and perhaps to investigate cross-disciplinary research. This year the conferences was held on the beautiful campus of the University of Calgary, and many participants took the opportunity to tour nearby Ban? and the magni?cent Rocky Mountains.

• AI-logics
• Bayesian network
• agent-based systems
• agents
• algorithmic learning
• artificial intelligence
• cognitive science
• genetic algorithms
• heuristics
• intelligent agents
• logic programming
• multi-agent system
• natural language processing
• neural network
• proving

• Computer Science, University of Waterloo, Waterloo, Canada

  Robin Cohen

• IIT - e-Business, National Research Council, Frederiction, Canada

  Bruce Spencer

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