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© 2002

Advances in Case-Based Reasoning

6th European Conference, ECCBR 2002 Aberdeen, Scotland, UK, September 4–7, 2002 Proceedings

  • Susan Craw
  • Alun Preece
Conference proceedings ECCBR 2002

Part of the Lecture Notes in Computer Science book series (LNCS, volume 2416)

Also part of the Lecture Notes in Artificial Intelligence book sub series (LNAI, volume 2416)

Table of contents

  1. Front Matter
    Pages I-XII
  2. Invited Papers

  3. Research Papers

    1. Joachim Baumeister, Martin Atzmüller, Frank Puppe
      Pages 28-42
    2. James D. Carswell, David C. Wilson, Michela Bertolotto
      Pages 58-72
    3. Belén Díaz-Agudo, Pablo Gervás, Pedro A. González-Calero
      Pages 73-87
    4. Göran Falkman
      Pages 88-102
    5. Paulo Gomes, Francisco C. Pereira, Paulo Paiva, Nuno Seco, Paulo Carreiro, José L. Ferreira et al.
      Pages 118-132
    6. Kalyan Moy Gupta, David W. Aha, Nabil Sandhu
      Pages 133-147
    7. Daniel N. Hennessy, Bruce G. Buchanan, John M. Rosenberg
      Pages 148-158
    8. Martha Dørum Jære, Agnar Aamodt, Pål Skalle
      Pages 174-188
    9. Boris Kerkez, Michael T. Cox
      Pages 189-203
    10. David B. Leake, Raja Sooriamurthi
      Pages 204-218
    11. David McSherry
      Pages 219-233
    12. Miquel Montaner, Beatriz López, Josep Lluís de la Rosa
      Pages 234-248
    13. Babak Mougouie, Ralph Bergmann
      Pages 249-263

About these proceedings

Introduction

The papers collected in this volume were presented at the 6th European C- ference on Case-Based Reasoning (ECCBR 2002) held at The Robert Gordon University in Aberdeen, UK. This conference followed a series of very succe- ful well-established biennial European workshops held in Trento, Italy (2000), Dublin, Ireland (1998), Lausanne, Switzerland (1996), and Paris, France (1994), after the initial workshop in Kaiserslautern, Germany (1993). These meetings have a history of attracting ?rst-class European and international researchers and practitioners in the years interleaving with the biennial international co- terpart ICCBR; the 4th ICCBR Conference was held in Vancouver, Canada in 2001. Proceedings of ECCBR and ICCBR conferences are traditionally published by Springer-Verlag in their LNAI series. Case-Based Reasoning (CBR) is an AI problem-solving approach where pr- lems are solved by retrieving and reusing solutions from similar, previously solved problems, and possibly revising the retrieved solution to re?ect di?erences - tween the new and retrieved problems. Case knowledge stores the previously solved problems and is the main knowledge source of a CBR system. A main focus of CBR research is the representation, acquisition and maintenance of case knowledge. Recently other knowledge sources have been recognized as important: indexing, similarity and adaptation knowledge. Signi?cant knowledge engine- ing e?ort may be needed for these, and so the representation, acquisition and maintenance of CBR knowledge more generally have become important.

Keywords

AI Planning CBR Case-Based Making Case-Based Management Case-Based Problem Solving Case-Based Reasoning Case-Based Reasoning Systems, Fuzzy Knowledge Engineering Optimization Methods cognition complexity organization proving recommender system

Editors and affiliations

  • Susan Craw
    • 1
  • Alun Preece
    • 2
  1. 1.School of ComputingThe Robert Gordon UniversityAberdeenScotland, UK
  2. 2.Computing Science DepartmentUniversity of AberdeenAberdeenScotland, UK

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