Retrieval in case-based reasoning using preferred subtheories

  • Michael Mehl
Selected Papers
Part of the Lecture Notes in Computer Science book series (LNCS, volume 659)


The goal of this work is to develop a formal logical foundation of the representation and the retrieval of cases in case-based reasoning. An adequate basis therefor provides the default logic with priorities. We present transformations which construct defaults from the memory of cases such that the retrieval of knowledge in case-based reasoning corresponds roughly to the preferred subtheory obtained by the defaults.


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. [Brewka89]
    Gerhard Brewka. Preferred subtheories: An extended logical framework for default reasoning. In Proceedings of the Eleventh International Joint Conference on Artifical Intelligence, pages 1043–1048. IJCAI, 1989.Google Scholar
  2. [KotonChase89]
    Phyllis Koton and Melissa P. Chase. Knowledge representation in a case-based reasoning system: Defaults and exceptions. In Ronald J. Brachman and Hector J. Levesque, editors, Proceedings of the First International Conference on Priciples of Knowledge Representation and Reasoning, pages 203–211. Morgan Kaufmann Publishers, Inc, 1989.Google Scholar
  3. [Kolodner83a]
    Janet L. Kolodner. Maintaining organization in a dynamic long-term memory. Cognitive Science, 7, 1983.Google Scholar
  4. [Kolodner83b]
    Janet L. Kolodner. Reconstructive memory: A computer model. Cognitive Science, 7, 1983.Google Scholar
  5. [Kolodner84]
    Janet L. Kolodner. Retrieval and organizational strategies in conceptual memory: A computer model. Erlbaum, 1984.Google Scholar
  6. [Reiter80]
    Raymond Reiter. A logic for default reasoning. Artificial Intelligence, 13:81–132, 1980.Google Scholar
  7. [Richter91]
    Michael M. Richter, editor. Das MOLTKE — Buch. Springer, To appear 1991.Google Scholar
  8. [RisslandKolodnerWaltz89]
    Edwina Rissland, Janet Kolodner, and David Waltz. Case-based reasoning, from darpa machine learning program plan. In Edwina Rissland, Janet Kolodner, and David Waltz, editors, Proceedings of the 19S9 DARPA Workshop on Case-Based-Reasoning, pages 1–13. DARPA, Morgan Kaufmann, 1989.Google Scholar
  9. [Schank82]
    Roger C. Schank. Dynamic Memory: A theory of reminding and learning in computers and people. Cambridge University Press, 1982.Google Scholar
  10. [Slade91]
    Stephen Slade. Case-based reasoning: A research paradigm. AI Magazine, 1:42–55, 1991.Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 1993

Authors and Affiliations

  • Michael Mehl
    • 1
  1. 1.German Research Center for Artificial IntelligenceDFKISaarbrücken 11

Personalised recommendations