p-95-03 Combining Case-Based Planning and Introspective Reasoning Susan Fox and David B. Leake Proceedings of the Sixth Midwest Artificial Intelligence and Cognitive Science Conference, Carbondale, IL, pp. 32-36. 1995. Abstract There is much current interest in introspective reasoning, reasoning about reasoning processes themselves. One application of introspective reasoning is to detect flaws in a system's own reasoning, and to refine its reasoning methods to correct those flaws. We propose a framework for performing such introspective refinement, and describe its implementation in a system which combines introspective learning with case-based planning. We describe empirical tests performed to evaluate the effect of introspective reasoning for this 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.