Using Case Provenance to Propagate Feedback to Cases and Adaptations

  • Authors:
  • David Leake;Scott A. Dial

  • Affiliations:
  • Computer Science Department, Indiana University, Bloomington, U.S.A. IN 47405;Computer Science Department, Indiana University, Bloomington, U.S.A. IN 47405

  • Venue:
  • ECCBR '08 Proceedings of the 9th European conference on Advances in Case-Based Reasoning
  • Year:
  • 2008

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Abstract

Case provenance concerns how cases came into being in a case-based reasoning system. Case provenance information has been proposed as a resource to exploit for tasks such as guiding case-based maintenance and estimating case confidence [1]. The paper presents a new bidirectional provenance-based method for propagating case confidence, examines when provenance-based maintenance is likely to be useful, and expands the application of provenance-based methods to a new task: assessing the quality of adaptation rules. The paper demonstrates the application of the resulting quality estimates to rule maintenance and prediction of solution quality.