p-94-04        

Using Introspective Reasoning to Guide Index Refinement in Case-Based
Reasoning 

Susan Fox and David B. Leake

Proceedings of the Sixtennth Annual Conference of the Cognitive
Science Society, 1994

Abstract:

Case-based reasoning research on indexing and retrieval focuses
primarily on developing specific retrieval criteria, rather than on
developing mechanisms by which such criteria can be learned as needed.
This paper presents a framework for learning to refine indexing
criteria by introspective reasoning.  In our approach, a self-model of
desired system performance is used to determine when and how to refine
retrieval criteria.  We describe the advantages of this approach for
focusing learning on useful information even in the absence of
explicit processing failures, and support its benefits with
experimental results on how an implementation of the model affects
performance of a case-based planning system.


A postscript file for the full paper is available electronically.  
To get a copy
  by anonymous ftp, see  ftp://ftp.cs.indiana.edu/pub/leake/README.
  on the web, open URL   ftp://ftp.cs.indiana.edu/pub/leake/INDEX.html.