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Advances in Artificial Intelligence

14th Biennial Conference of the Canadian Society for Computational Studies of Intelligence, AI 2001 Ottawa, Canada, June 7-9, 2001 Proceedings

  • Conference proceedings
  • © 2001

Overview

Editors:
  1. Eleni Stroulia

    1. Department of Computer Science, University of Alberta, Edmonton, Canada

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    You can also search for this editor in PubMed   Google Scholar

  2. Stan Matwin

    1. School of Information Technology and Engineering, University of Ottawa, Ottawa, Canada

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    You can also search for this editor in PubMed   Google Scholar

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 2056)

Part of the book sub series: Lecture Notes in Artificial Intelligence (LNAI)

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Table of contents (38 papers)

  1. Front Matter

    Pages I-XIII
    Download chapter PDF

  2. A Case Study for Learning from Imbalanced Data Sets

    1. A Case Study for Learning from Imbalanced Data Sets

      • Aijun An, Nick Cercone, Xiangji Huang
      Pages 1-15

  3. A Holonic Multi-agent Infrastructure for Electronic Procurement

    1. A Holonic Multi-agent Infrastructure for Electronic Procurement

      • Andreas Gerber, Christian Russ
      Pages 16-25

  4. A Low-Scan Incremental Association Rule Maintenance Method Based on the Apriori Property

    1. A Low-Scan Incremental Association Rule Maintenance Method Based on the Apriori Property

      • Zequn Zhou, C.I. Ezeife
      Pages 26-35

  5. A Statistical Corpus-Based Term Extractor

    1. A Statistical Corpus-Based Term Extractor

      • Patrick Pantel, Dekang Lin
      Pages 36-46

  6. Body-Based Reasoning Using a Feeling-Based Lexicon, Mental Imagery, and an Object-Oriented Metaphor Hierarchy

    1. Body-Based Reasoning Using a Feeling-Based Lexicon, Mental Imagery, and an Object-Oriented Metaphor Hierarchy

      • Eric G. Berkowitz, Peter H. Greene
      Pages 47-56

  7. Combinatorial Auctions, Knapsack Problems, and Hill-Climbing Search

    1. Combinatorial Auctions, Knapsack Problems, and Hill-Climbing Search

      • Robert C. Holte
      Pages 57-66

  8. Concept-Learning in the Presence of Between-Class and Within-Class Imbalances

    1. Concept-Learning in the Presence of Between-Class and Within-Class Imbalances

      • Nathalie Japkowicz
      Pages 67-77

  9. Constraint Programming Lessons Learned from Crossword Puzzles

    1. Constraint Programming Lessons Learned from Crossword Puzzles

      • Adam Beacham, Xinguang Chen, Jonathan Sillito, Peter van Beek
      Pages 78-87

  10. Constraint-Based Vehicle Assembly Line Sequencing

    1. Constraint-Based Vehicle Assembly Line Sequencing

      • Michael E. Bergen, Peter van Beek, Tom Carchrae
      Pages 88-99

  11. How AI Can Help SE; or: Randomized Search Not Considered Harmful

    1. How AI Can Help SE; or: Randomized Search Not Considered Harmful

      • Tim Menzies, Harhsinder Singh
      Pages 100-110

  12. Imitation and Reinforcement Learning in Agents with Heterogeneous Actions

    1. Imitation and Reinforcement Learning in Agents with Heterogeneous Actions

      • Bob Price, Craig Boutilier
      Pages 111-120

  13. Knowledge and Planning in an Action-Based Multi-agent Framework: A Case Study

    1. Knowledge and Planning in an Action-Based Multi-agent Framework: A Case Study

      • Bradley Bart, James P. Delgrande, Oliver Schulte
      Pages 121-130

  14. Learning about Constraints by Reflection

    1. Learning about Constraints by Reflection

      • J. William Murdock, Ashok K. Goel
      Pages 131-140

  15. Learning Bayesian Belief Network Classifiers: Algorithms and System

    1. Learning Bayesian Belief Network Classifiers: Algorithms and System

      • Jie Cheng, Russell Greiner
      Pages 141-151

  16. Local Score Computation in Learning Belief networks

    1. Local Score Computation in Learning Belief networks

      • Y. Xiang, J. Lee
      Pages 152-161

  17. Personalized Contexts in Help Systems

    1. Personalized Contexts in Help Systems

      • Vive S. Kumar, Gordon I. McCalla, Jim E. Greer
      Pages 162-171

  18. QA-LaSIE: A Natural Language Question answering system

    1. QA-LaSIE: A Natural Language Question answering system

      • Sam Scott, Robert Gaizauskas
      Pages 172-182

  19. Search Techniques for Non-Linear Constraint Satisfaction Problems with Inequalities

    1. Search Techniques for Non-Linear Constraint Satisfaction Problems with Inequalities

      • Marius-CĂlin Silaghi, Djamila Sam-Haroud, Boi Faltings
      Pages 183-193

  20. Searching for Nacro Operators with Automatically Generated Heuristics

    1. Searching for Nacro Operators with Automatically Generated Heuristics

      • István T. Hernádvölgyi
      Pages 194-203
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Keywords

About this book

AI 2001 is the 14th in the series of Arti cial Intelligence conferences sponsored by the Canadian Society for Computational Studies of Intelligence/Soci et e - nadienne pour l’ etude de l’intelligence par ordinateur. As was the case last year too, the conference is being held in conjunction with the annual conferences of two other Canadian societies, Graphics Interface (GI 2001) and Vision Int- face (VI 2001). We believe that the overall experience will be enriched by this conjunction of conferences. This year is the \silver anniversary" of the conference: the rst Canadian AI conference was held in 1976 at UBC. During its lifetime, it has attracted Canadian and international papers of high quality from a variety of AI research areas. All papers submitted to the conference received at least three indep- dent reviews. Approximately one third were accepted for plenary presentation at the conference. The best paper of the conference will be invited to appear in Computational Intelligence.

Editors and Affiliations

  • Department of Computer Science, University of Alberta, Edmonton, Canada

    Eleni Stroulia

  • School of Information Technology and Engineering, University of Ottawa, Ottawa, Canada

    Stan Matwin

Bibliographic Information

  • Book Title: Advances in Artificial Intelligence

  • Book Subtitle: 14th Biennial Conference of the Canadian Society for Computational Studies of Intelligence, AI 2001 Ottawa, Canada, June 7-9, 2001 Proceedings

  • Editors: Eleni Stroulia, Stan Matwin

  • Series Title: Lecture Notes in Computer Science

  • DOI: https://doi.org/10.1007/3-540-45153-6

  • Publisher: Springer Berlin, Heidelberg

  • eBook Packages: Springer Book Archive

  • Copyright Information: Springer-Verlag Berlin Heidelberg 2001

  • Softcover ISBN: 978-3-540-42144-3Published: 16 May 2001

  • eBook ISBN: 978-3-540-45153-2Published: 29 June 2003

  • Series ISSN: 0302-9743

  • Series E-ISSN: 1611-3349

  • Edition Number: 1

  • Number of Pages: XII, 372

  • Topics: Artificial Intelligence

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