12. AI 1998: Vancouver, BC, Canada

Robert E. Mercer, Eric Neufeld (Eds.): Advances in Artificial Intelligence, 12th Biennial Conference of the Canadian Society for Computational Studies of Intelligence, AI '98, Vancouver, BC, Canada, June 18-20, 1998, Proceedings. Lecture Notes in Computer Science 1418 Springer 1998, ISBN 3-540-64575-6

@proceedings{DBLP:conf/ai/1998,
  editor    = {Robert E. Mercer and
               Eric Neufeld},
  title     = {Advances in Artificial Intelligence, 12th Biennial Conference
               of the Canadian Society for Computational Studies of Intelligence,
               AI '98, Vancouver, BC, Canada, June 18-20, 1998, Proceedings},
  booktitle = {Canadian Conference on AI},
  publisher = {Springer},
  series    = {Lecture Notes in Computer Science},
  volume    = {1418},
  year      = {1998},
  isbn      = {3-540-64575-6},
  bibsource = {DBLP, http://dblp.uni-trier.de}
}

Planning, Constraints, Search and Databases

Andreas Junghanns, Jonathan Schaeffer: Sokoban: Evaluating Standard Single-Agent Search Techniques in the Presence of Deadlock. 1-15
Don Banks, Peter van Beek, Amnon Meisels: A Heuristic Incremental Modeling Approach to Course Timetabling. 16-29
Jacky Baltes: Planning Strategy Representation of DoLittle. 30-44
Dong-Guk Shin, Lung-Yung Chu: Establishing Logical Connectivity between Query Keywords and Database Contents. 45-59

Applications

Ken Barker, Sylvain Delisle, Stan Szpakowicz: Test-Driving TANKA: Evaluating a Semi-automatic System of Text Analysis for Knowledge Acquisition. 60-71
Guy W. Mineau, Mounsif Lahboub, Jean-Marie Beaulieu: An Object Indexing Methodology as Support to Object Recognition. 72-85
Richard Nock, Babak Esfandiari: Oracles and Assistants: Machine Learning Applied to Network Supervision. 86-98
Suhayya Abu-Hakima, Ramiro Liscano, Roger Impey: A Common Multi-agent Testbed for Diverse Seamless Personal Information Networking Applications. 99-113

Genetic Algorithms

Jean Berger, Martin Salois, Regent Begin: A Hybrid Genetic Algorithm for the Vehicle Routing Problem with Time Windows. 114-127
Jason Morrison, Franz Oppacher: Maintaining Genetic Diversity in Genetic Algorithms through Co-evolution. 128-138
Kay C. Wiese, Scott D. Goodwin: The Effect of Genetic Operator Probabilities and Selection Strategies on the Performance of a Genetic Algorithm. 139-153
Una-May O'Reilly: The Impact of External Dependency in Genetic Programming Primitives. 154-168

Learning and Natural Language

Udo Hahn, Klemens Schnattinger: Quality Control in the Concept Learning Process. 169-183
Charles X. Ling, Bei Zhang: Grapheme Generation in Learning to Read English Words. 184-195
Ken Barker: A Trainable Bracketer for Noun Modifiers. 196-210

Posters

Brett Hodges, Larry Hodgson: Lessons Learned in the Development and Implementation of a Bilingual Nationally Accessible Knowledge-Based System. 211-219
Toby Donaldson, Robin Cohen: Selecting the Next Action with Constraints. 220-227
Darse Billings, Denis Papp, Jonathan Schaeffer, Duane Szafron: Poker as Testbed for AI Research. 228-238
Bengt R. Knudsen: Fault Prediction in the Telephone Access Loop Using a Neural Network. 239-245
Jian Zhang, Howard J. Hamilton: Learning English Syllabification Rules. 246-258
Wanlin Pang, Scott D. Goodwin: Characterizing Tractable CSPs. 259-272
Teresa Gonçalves, Fernando Moura-Pires: An Attribute Redundancy Measure for Clustering. 273-284
Sorin Draghici: On the Complexity of VLSI-Friendly Neural Networks for Classification Problems. 285-297
Marc Sebban, Anne M. Landraud: Strings Clustering and Statistical Validation of Clusters. 298-309
Michael McGarity: Finding Partitions for Learning Control of Dynamic Systems. 310-321

Reasoning

Brahim Chaib-draa: A Relational Modeling of Cognitive Maps. 322-333
Steffen Staab, Udo Hahn: Distance Constraint Arrays: A Model for Reasoning on Intervals with Qualitative and Quantitative Distances. 334-348
James P. Delgrande, Arvind Gupta: Revising TimeGraph-II. 349-362

Uncertainty

Yang Xiang: Temporally Invariant Junction Tree for Inference in Dynamic Bayesian Network. 363-377
Scott M. Brown, Eugene Santos Jr., Sheila B. Banks: Utility Theory-Based User Models for Intelligent Interface Agents. 378-392
Jun Liu, Kuo-Chu Chang, Jing Zhou: A Hybrid Convergent Method for Learning Probabilistic Networks. 393-410

Learning

Eduardo Pérez, Larry A. Rendell: Relational Concepts and the Fourier Transform: An Empirical Study. 411-425
Aijun An, Nick Cercone: ELEM2: A Learning System for More Accurate Classifications. 426-441
Susan L. Epstein, Jenngang Shih: Sequential Instance-Based Learning. 442-454
Riverson Rios, Stan Matwin: Predicate Invention from a Few Examples. 455-466

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