Advances in Artificial Intelligence

18th Conference of the Canadian Society for Computational Studies of Intelligence, Canadian AI 2005, Victoria, Canada, May 9-11, 2005. Proceedings

  • Balázs Kégl
  • Guy Lapalme
Conference proceedings AI 2005

Part of the Lecture Notes in Computer Science book series (LNCS, volume 3501)

Also part of the Lecture Notes in Artificial Intelligence book sub series (LNAI, volume 3501)

Table of contents

  1. Front Matter
  2. Agents

    1. Adam Milstein
      Pages 1-12
    2. Lingzhong Zhou, Abdul Sattar, Scott Goodwin
      Pages 13-24
    3. Michael Y. K. Cheng, Chris Micacchi, Robin Cohen
      Pages 33-37
    4. Sébastien Paquet, Nicolas Bernier, Brahim Chaib-draa
      Pages 43-47
    5. Eric Beaudry, Froduald Kabanza, Francois Michaud
      Pages 48-52
  3. Constraint Satisfaction and Search

  4. Data Mining

    1. Jeff Long, Michael C. Horsch
      Pages 108-119
    2. Marina Sokolova, Stan Szpakowicz
      Pages 145-157
    3. Alban Grastien, Marie-Odile Cordier, Christine Largouët
      Pages 170-181
    4. Jiayun Guo, Vlado Kešelj, Qigang Gao
      Pages 182-193

About these proceedings


The 18th conference of the Canadian Society for the Computational Study of Intelligence (CSCSI) continued the success of its predecessors. This set of - pers re?ects the diversity of the Canadian AI community and its international partners. AI 2005 attracted 135 high-quality submissions: 64 from Canada and 71 from around the world. Of these, eight were written in French. All submitted papers were thoroughly reviewed by at least three members of the Program Committee. A total of 30 contributions, accepted as long papers, and 19 as short papers are included in this volume. We invited three distinguished researchers to give talks about their current research interests: Eric Brill from Microsoft Research, Craig Boutilier from the University of Toronto, and Henry Krautz from the University of Washington. The organization of such a successful conference bene?ted from the coll- oration of many individuals. Foremost, we would like to express our apprec- tion to the Program Committee members and external referees, who provided timely and signi?cant reviews. To manage the submission and reviewing process we used the Paperdyne system, which was developed by Dirk Peters. We owe special thanks to Kellogg Booth and Tricia d’Entremont for handling the local arrangementsandregistration.WealsothankBruceSpencerandmembersofthe CSCSI executive for all their e?orts in making AI 2005 a successful conference.


Constraint Satisfaction artificial intelligence data mining intelligence knowledge representation learning machine learning

Editors and affiliations

  • Balázs Kégl
    • 1
  • Guy Lapalme
    • 2
  1. 1.Département d’informatique et de recherche opérationelle, CP 6128 succ. Centre-VilleUniversité de MontréalMontréalCanada
  2. 2.Département d’informatique et de recherche opérationnelleUniversité de Montréal 

Bibliographic information

  • DOI
  • Copyright Information Springer-Verlag Berlin Heidelberg 2005
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Computer Science
  • Print ISBN 978-3-540-25864-3
  • Online ISBN 978-3-540-31952-8
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • About this book