Abstract:

When AI technologies are applied to real-world problems, it is often difficult for developers to anticipate all possible eventualities. Especially in long-lived systems, changing circumstances may require changes not only to domain knowledge but also to the reasoning process which brings it to bear. This requires introspective reasoning, metareasoning by a system about its own internal reasoning processes. This chapter investigates applying introspective reasoning to improve the performance of a case-based reasoning system, by guiding learning to improve how a case-based reasoning system applies its cases.

• Tagged
• XML
• BibTex