Advertisement

Table of contents

  1. Front Matter
    PDF
  2. Integration of case based retrieval with a relational database system in Aircraft Technical Support
    Jonathan R. C. Allen, David W. R. Patterson, Maurice D. Mulvenna, John G. Hughes
    Pages 1-10
  3. Cost estimation of software projects through case base reasoning
    Rossella Bisio, Fabio Malabocchia
    Pages 11-22
  4. Operator decision aiding by adaptation of supervision strategies
    Béatrice Fuchs, Alain Mille, Benoît Chiron
    Pages 23-32
  5. PROFIL: A decision support tool for metallic sections design using a CBR approach
    Jean Luc Wybo, Fréderic Geffraye, Aline Russeil
    Pages 33-42
  6. MacRad: Radiology image resource with a case-based retrieval system
    Robert T. Macura, Katarzyna J. Macura
    Pages 43-54
  7. Representing and indexing building refurbishment cases for multiple retrieval of adaptable pieces of cases
    Farhi Marir, Ian Watson
    Pages 55-66
  8. Large-scale fault diagnosis for on-board train systems
    B. D. Netten, R. A. Vingerhoeds
    Pages 67-76
  9. Case-based reasoning for expertise relocation in support of rural health workers in developing countries
    Elisha T. O. Opiyo
    Pages 77-87
  10. Spatial composition using cases: IDIOM
    Ian Smith, Claudio Lottaz, Boi Faltings
    Pages 88-97
  11. CBR and Machine Learning for combustion system design
    Jutta Stehr
    Pages 98-108
  12. KBS maintenance as learning two-tiered domain representation
    Gennady Agre
    Pages 109-120
  13. A case-based approach for developing writing tools aimed at non-native English users
    Sandra M. Aluísio, Osvaldo N. Oliveira Jr.
    Pages 121-132
  14. Reasoning with reasons in case-based comparisons
    Kevin D. Ashley, Bruce M. McLaren
    Pages 133-144
  15. Towards the integration of case-based, schema-based and model-based reasoning for supporting complex design tasks
    Brigitte Bartsch-Spörl
    Pages 145-156
  16. Separating the cases from the data: Towards more flexible case-based reasoning
    Mike Brown, Ian Watson, Nick Filer
    Pages 157-168
  17. Route planning by analogy
    Karen Zita Haigh, Manuela Veloso
    Pages 169-180
  18. Case adaptation using an incomplete causal model
    John D. Hastings, L. Karl Branting, Jeffrey A. Lockwood
    Pages 181-192
  19. Evaluating the application of CBR in mesh design for simulation problems
    Neil Hurley
    Pages 193-204
  20. Case memory and retrieval based on the immune system
    John E. Hunt, Denise E. Cooke, Horst Holstein
    Pages 205-216
  21. Using case data to improve on rule-based function approximation
    Nitin Indurkhya, Sholom M. Weiss
    Pages 217-228
  22. Learning to improve case adaptation by introspective reasoning and CBR
    David B. Leake, Andrew Kinley, David Wilson
    Pages 229-240
  23. Retrieving cases in structured domains by using goal dependencies
    Héctor Muñoz-Avila, Jochem Huellen
    Pages 241-252
  24. An average-case analysis of k-nearest neighbor classifier
    Seishi Okamoto, Ken Satoh
    Pages 253-264
  25. Cases as terms: A feature term approach to the structured representation of cases
    Enric Plaza
    Pages 265-276
  26. ADAPtER: An integrated diagnostic system combining case-based and abductive reasoning
    Luigi Portinale, Pietro Torasso
    Pages 277-288
  27. Adaptation using constraint satisfaction techniques
    Lisa Purvis, Pearl Pu
    Pages 289-300
  28. Learning a local similarity metric for case-based reasoning
    Francesco Ricci, Paolo Avesani
    Pages 301-312
  29. Experiments on adaptation-guided retrieval in case-based design
    Barry Smyth, Mark T. Keane
    Pages 313-324
  30. Integrating rules and cases for the classification task
    Jerzy Surma, Koen Vanhoof
    Pages 325-334
  31. Reuse of knowledge: Empirical studies
    Willemien Visser
    Pages 335-346
  32. Weighting features
    Dietrich Wettschereck, David W. Aha
    Pages 347-358
  33. An investigation of marker-passing algorithms for analogue retrieval
    Michael Wolverton
    Pages 359-370
  34. INRECA: A seamlessly integrated system based on inductive inference and case-based reasoning
    E. Auriol, S. Wess, M. Manago, K. D. Althoff, R. Traphöner
    Pages 371-380
  35. DOM-ArC: An active decision support system for quality assessment of cases
    Shirin Bakhtari, Wolfgang Oertel
    Pages 381-390
  36. A case-based reasoner adaptive to different cognitive tasks
    Isabelle Bichindaritz
    Pages 391-400
  37. On the use of CBR in optimisation problems such as the TSP
    Pádraig Cunningham, Barry Smyth, Neil Hurley
    Pages 401-410
  38. Case-based diagnosis of multiple faults
    Ralph Deters
    Pages 411-420
  39. On the automatic generation of case libraries by chunking chess games
    Stephen Flinter, Mark T. Keane
    Pages 421-430
  40. Learning to refine indexing by introspective reasoning
    Susan Fox, David B. Leake
    Pages 431-440
  41. Problem solving with “the incredible machine” an experiment in case-based reasoning
    Mehmet H. Göker, Herbert Birkhofer
    Pages 441-450
  42. Integrating case based reasoning and tabu search for solving optimisation problems
    Stephan Grolimund, Jean-Gabriel Ganascia
    Pages 451-460
  43. Systems, tasks and adaptation knowledge: Revealing some revealing dependencies
    Kathleen Hanney, Mark Keane, Barry Smyth, Padraig Cunningham
    Pages 461-470
  44. Some limitations of feature-based recognition in case-based design
    Thomas R. Hinrichs
    Pages 471-480
  45. A case based method for solving relatively stable dynamic constraint satisfaction problems
    Y. Huang, R. Miles
    Pages 481-490
  46. Learning strategies for explanation patterns: Basic game patterns with application to chess
    Yaakov Kerner
    Pages 491-500
  47. A memory-based hierarchical planner
    Deepak Khemani, P. V. S. R. Bhanu Prasad
    Pages 501-509
  48. Case-Based Reasoning for cash flow forecasting using fuzzy retrieval
    Rosina Weber Lee, Ricardo Miranda Barcia, Suresh K. Khator
    Pages 510-519
  49. A connectionist indexing approach for CBR systems
    Maria Malek
    Pages 520-527
  50. Using a neural network to learn general knowledge in a case-based system
    Eliseo Reategui, John A. Campbell, Shirley Borghetti
    Pages 528-537

About these proceedings

Introduction

This book constitutes the refereed proceedings of the First International Conference on Case-Based Reasoning, ICCBR-95, held in Sesimbra, Portugal, in October 1995.
The 52 revised papers included are classified as scientific papers , application papers , and posters . All current aspects of research and development aiming at industrial applications in CBR are addressed. Among the topical sections are case and knowledge representation, case retrieval, nearest neighbour methods, case adaption and learning, cognitive modelling, integrated reasoning methods, and application-oriented methods: planning, decision making, diagnosis, interpretation, design, etc.

Keywords

Cas-Based Reasoning Cognitive Modelling Decision Making Entscheidungstheorie Fallbasiertes Schließen Kognitives Modellieren Planen algorithms cognition cognitive science knowledge representation learning machine learning modeling planning

Bibliographic information

  • DOI https://doi.org/10.1007/3-540-60598-3
  • Copyright Information Springer-Verlag Berlin Heidelberg 1995
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Springer Book Archive
  • Print ISBN 978-3-540-60598-0
  • Online ISBN 978-3-540-48446-2
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • Buy this book on publisher's site