© 2009

Case-Based Reasoning Research and Development

8th International Conference on Case-Based Reasoning, ICCBR 2009 Seattle, WA, USA, July 20-23, 2009 Proceedings

  • Lorraine McGinty
  • David C. Wilson
Conference proceedings ICCBR 2009

Part of the Lecture Notes in Computer Science book series (LNCS, volume 5650)

Also part of the Lecture Notes in Artificial Intelligence book sub series (LNAI, volume 5650)

Table of contents

  1. Front Matter
  2. Invited Talks

    1. Susan Craw
      Pages 1-5
    2. Edwina L. Rissland
      Pages 6-13
  3. Theoretical/Methodological Research Papers

    1. Ibrahim Adeyanju, Nirmalie Wiratunga, Robert Lothian, Somayajulu Sripada, Luc Lamontagne
      Pages 14-28
    2. David W. Aha, Matthew Molineaux, Gita Sukthankar
      Pages 29-44
    3. Kevin Ashley, Collin Lynch, Niels Pinkwart, Vincent Aleven
      Pages 45-59
    4. Fadi Badra, Amélie Cordier, Jean Lieber
      Pages 60-74
    5. Reinaldo A. C. Bianchi, Raquel Ros, Ramon Lopez de Mantaras
      Pages 75-89
    6. Annett Bierer, Marcus Hofmann
      Pages 90-104
    7. Julien Cojan, Jean Lieber
      Pages 105-119
    8. Michael W. Floyd, Babak Esfandiari
      Pages 150-164
    9. David Leake, Joseph Kendall-Morwick
      Pages 165-179
    10. Stephen Lee-Urban, Héctor Muñoz-Avila
      Pages 180-194
    11. Beatriz López, Carles Pous, Albert Pla, Pablo Gay
      Pages 195-209
    12. Manish Mehta, Santiago Ontañón, Ashwin Ram
      Pages 210-224
    13. Stefania Montani, Alessio Bottrighi, Giorgio Leonardi, Luigi Portinale, Paolo Terenziani
      Pages 225-239
    14. Santiago Ontañón, Enric Plaza
      Pages 240-255

About these proceedings


This book constitutes the refereed proceedings of the 8th International Conference on Case-Based Reasoning, ICCBR 2009, held in Seattle, WA, USA, in July 2009.

The 17 revised full papers and 17 revised poster papers presented together with 2 invited talks were carefully reviewed and selected from 55 submissions. Covering a wide range of CBR topics of interest both to practitioners and researchers, the papers are devoted to theoretical/methodological as well as to applicative aspects of current CBR analysis.


Ada CBR agents Cluster agents algorithms ambient intelligence automatic case generation case similarity case-based planning case-based reasoning distributed CBR heuristics learning proving robot

Editors and affiliations

  • Lorraine McGinty
    • 1
  • David C. Wilson
    • 2
  1. 1.Adaptive Information Cluster, School of Computer Science & InformaticsUniversity College Dublin,Dublin 4Ireland
  2. 2.Department of Software and Information Systems, College of Computing and InformaticsUniversity of North Carolina at CharlotteCharlotteUSA

Bibliographic information

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