13. AI 2000: Montréal, Québec, Canada

@proceedings{DBLP:conf/ai/2000,
  editor    = {Howard J. Hamilton},
  title     = {Advances in Artificial Intelligence, 13th Biennial Conference
               of the Canadian Society for Computational Studies of Intelligence,
               AI 2000, Montr{\'e}al, Quebec, Canada, May 14-17, 2000, Proceedings},
  booktitle = {Canadian Conference on AI},
  publisher = {Springer},
  series    = {Lecture Notes in Computer Science},
  volume    = {1822},
  year      = {2000},
  isbn      = {3-540-67557-4},
  bibsource = {DBLP, http://dblp.uni-trier.de}
}

Games / Constraint Satisfaction

• Jonathan Schaeffer, Aske Plaat:
  Unifying Single-Agent and Two-Player Search. 1-12
  
• Jack van Rijswijck:
  Are Bees Better than Fruitflies? 13-25
  
• Sivakumar Nagarajan, Scott D. Goodwin, Abdul Sattar:
  A Constraint Directed Model for Partial Constraint Satisfaction Problems. 26-39
  

Natural Language I

• Ken Barker, Nadia Cornacchia:
  Using Noun Phrase Heads to Extract Document Keyphrases. 40-52
  
• Caroline Barrière, Fred Popowich:
  Expanding the Type Hierarchy with Nonlexical Concepts. 53-68
  
• Bernard Moulin, Driss Kettani, Benjamin Gauthier, Walid Chaker:
  Using Object Influence Areas to Quantitatively Deal with Neighborhood and Perception in Route Descriptions. 69-81
  
• Petr Kubon, Fred Popowich, Gordon Tisher:
  An Extendable Natural Language Interface to a Consumer Service Database. 82-89
  

Knowledge Representation

• Marc Sebban, Richard Nock:
  Identifying and Eliminating Irrelevant Instances Using Information Theory. 90-101
  
• Qiang Yang, Jing Wu:
  Keep It Simple: A Case-Base Maintenance Policy Based on Clustering and Information Theory. 102-114
  
• Aida Vitória, Margarida Mamede:
  On the Integration of Recursive ALN-Theories. 115-125
  

Natural Language II

• Scott McDonald, Davide Turcato, Paul McFetridge, Fred Popowich, Janine Toole:
  Collocation Discovery for Optimal Bilingual Lexicon Development. 126-137
  
• Elizabeth Scarlett, Stan Szpakowicz:
  The Power of the TSNLP: Lessons from a Diagnostic Evaluation of a Broad-Coverage Parser. 138-150
  
• Charles Hannon, Diane J. Cook:
  A Parallel Approach to Unified Cognitive Modeling of Language Processing within a Visual Context. 151-163
  

AI Applications

• Yannick Lallement, Mark S. Fox:
  Interact: A Staged Approach to Customer Service Automation. 164-175
  
• Udo Hahn, Stefan Schulz:
  Towards Very Large Terminological Knowledge Bases: A Case Study from Medicine. 176-186
  
• Ramiro Liscano, Katherine Baker, John F. Meech:
  The Use of Ontologies and Meta-knowledge to Facilitate the Sharing of Knowledge in a Multi-agent Personal Communication System. 187-200
  

Machine Learning / Data Mining

• Kay C. Wiese, Scott D. Goodwin, Sivakumar Nagarajan:
  ASERC - A Genetic Sequencing Operator for Asymmetric Permutation Problems. 201-213
  
• Jianchao Han, Aijun An, Nick Cercone:
  CViz: An Interactive Visualization System for Rule Induction. 214-226
  
• Yang Xiang, Xiaohua Hu, Nick Cercone, Howard J. Hamilton:
  Learning Pseudo-independent Models: Analytical and Experimental Results. 227-239
  

Planning / Theorem Proving / Artificial Life

• Muhammad Afzal Upal, Renee Elio:
  Learning Rewrite Rules versus Search Control Rules to Improve Plan Quality. 240-253
  
• Gernot Stenz, Andreas Wolf:
  Scheduling Methods for Parallel Automated Theorem Proving. 254-266
  
• Jianjun Yan, Naoyuki Tokuda, Juichi Miyamichi:
  Simulating Competing Alife Organisms by Constructive Compound Neural Networks. 267-279
  

Neural Networks

• Todd Eavis, Nathalie Japkowicz:
  A Recognition-Based Alternative to Discrimination-Based Multi-layer Perceptrons. 280-292
  
• Ali A. Ghorbani, Lila Bayat:
  Accelerated Backpropagation Learning: Extended Dynamic Parallel Tangent Optimization Algorithm. 293-304
  
• Kayvan Najarian, Guy A. Dumont, Michael S. Davies, Nancy E. Heckman:
  Neural ARX Models and PAC Learning. 305-315
  

Posters

• Jean-Christophe Baillie, Jean-Gabriel Ganascia:
  Qualitative Descriptors and Action Perception. 316-325
  
• Jeff Bowes, Eric Neufeld, Jim E. Greer, John Cooke:
  A Comparison of Association Rule Discovery and Bayesian Network Causal Inference Algorithms to Discover Relationships in Discrete Data. 326-336
  
• Mark Garzone, Robert E. Mercer:
  Towards an Automated Citation Classifier. 337-346
  
• Jianchao Han, Nick Cercone:
  Typical Example Selection for Learning Classifiers. 347-356
  
• Mahmoud F. Hussin, Badr M. Abouelnasr, Amin A. Shoukry:
  Comparative Study of Neural Network Controllers for Nonlinear Dynamic Systems. 357-368
  
• Kamran Karimi:
  The Iterative Multi-agent Method for Solving Complex Search Problems. 369-378
  
• Johanne Morin, Stan Matwin:
  Relational Learning with Transfer of Knowledge Between Domains. 379-388
  
• Matthias Scheutz:
  Surviving in a Hostile Multi-agent Environment: How Simple Affective States Can Aid in the Competition for Resources. 389-399
  
• Qihua Situ, Eleni Stroulia:
  Task-Structure Based Mediation: The Travel-Planning Assistant Example. 400-410
  
• Matthew Suderman, James P. Delgrande:
  Considerations on Compositional Update Operators. 411-420
  
• Ahmed Y. Tawfik, Trevor Barrie:
  The Degeneration of Relevance in Uncertain Temporal Domains: An Empirical Study. 421-431
  
• Huajie Zhang, Charles X. Ling, Zhiduo Zhao:
  The Learnability of Naive Bayes. 432-441
  

Invited Presentations

• Eugene Charniak:
  Parsing to Meaning, Statistically. 442
  
• Jan M. Zytkow:
  Automated Discovery: A Fusion of Multidisciplinary Principles. 443-448
  

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