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

DOI: 10.1007/978-3-642-02998-1

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

  • Copyright Information Springer-Verlag Berlin Heidelberg 2009
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Computer Science
  • Print ISBN 978-3-642-02997-4
  • Online ISBN 978-3-642-02998-1
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349