Case-Based Reasoning Research and Development

1. Front Matter

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2. Invited Talks

   1. We’re Wiser Together

      • Susan Craw

      Pages 1-5

   2. Black Swans, Gray Cygnets and Other Rare Birds

      • Edwina L. Rissland

      Pages 6-13

3. Theoretical/Methodological Research Papers

   1. Case Retrieval Reuse Net (CR2N): An Architecture for Reuse of Textual Solutions

      • Ibrahim Adeyanju, Nirmalie Wiratunga, Robert Lothian, Somayajulu Sripada, Luc Lamontagne

      Pages 14-28

   2. Case-Based Reasoning in Transfer Learning

      • David W. Aha, Matthew Molineaux, Gita Sukthankar

      Pages 29-44

   3. Toward Modeling and Teaching Legal Case-Based Adaptation with Expert Examples

      • Kevin Ashley, Collin Lynch, Niels Pinkwart, Vincent Aleven

      Pages 45-59

   4. Opportunistic Adaptation Knowledge Discovery

      • Fadi Badra, Amélie Cordier, Jean Lieber

      Pages 60-74

   5. Improving Reinforcement Learning by Using Case Based Heuristics

      • Reinaldo A. C. Bianchi, Raquel Ros, Ramon Lopez de Mantaras

      Pages 75-89

   6. Dimensions of Case-Based Reasoner Quality Management

      • Annett Bierer, Marcus Hofmann

      Pages 90-104

   7. Belief Merging-Based Case Combination

      • Julien Cojan, Jean Lieber

      Pages 105-119

   8. Maintenance by a Committee of Experts: The MACE Approach to Case-Base Maintenance

      • Lisa Cummins, Derek Bridge

      Pages 120-134

   9. The Good, the Bad and the Incorrectly Classified: Profiling Cases for Case-Base Editing

      • Sarah Jane Delany

      Pages 135-149

   10. An Active Approach to Automatic Case Generation

       • Michael W. Floyd, Babak Esfandiari

       Pages 150-164

   11. Four Heads Are Better than One: Combining Suggestions for Case Adaptation

       • David Leake, Joseph Kendall-Morwick

       Pages 165-179

   12. Adaptation versus Retrieval Trade-Off Revisited: An Analysis of Boundary Conditions

       • Stephen Lee-Urban, Héctor Muñoz-Avila

       Pages 180-194

   13. Boosting CBR Agents with Genetic Algorithms

       • Beatriz López, Carles Pous, Albert Pla, Pablo Gay

       Pages 195-209

   14. Using Meta-reasoning to Improve the Performance of Case-Based Planning

       • Manish Mehta, Santiago Ontañón, Ashwin Ram

       Pages 210-224

   15. Multi-level Abstractions and Multi-dimensional Retrieval of Cases with Time Series Features

       • Stefania Montani, Alessio Bottrighi, Giorgio Leonardi, Luigi Portinale, Paolo Terenziani

       Pages 225-239

   16. On Similarity Measures Based on a Refinement Lattice

       • Santiago Ontañón, Enric Plaza

       Pages 240-255

   17. An Overview of the Deterministic Dynamic Associative Memory (DDAM) Model for Case Representation and Retrieval

       • Stefan Pantazi

       Pages 256-269

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

• Adaptive Information Cluster, School of Computer Science & Informatics, University College Dublin,, Dublin 4, Ireland

  Lorraine McGinty

• Department of Software and Information Systems, College of Computing and Informatics, University of North Carolina at Charlotte, Charlotte, USA

  David C. Wilson

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