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MetareasoningThinking about Thinking$
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Michael T. Cox and Anita Raja

Print publication date: 2011

Print ISBN-13: 9780262014809

Published to MIT Press Scholarship Online: August 2013

DOI: 10.7551/mitpress/9780262014809.001.0001

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Using Introspective Reasoning to Improve CBR System Performance

Using Introspective Reasoning to Improve CBR System Performance

(p.167) 11 Using Introspective Reasoning to Improve CBR System Performance

Josep Lluís Arcos

Oğuz Mülâyim

David B. Leake

The MIT Press

Case-based reasoning (CBR) is a problem-solving methodology that exploits prior experiences when solving new problems, retrieving relevantly similar cases and adapting them to fit new needs. This chapter describes an approach in which an introspective reasoner monitors the CBR process with the goal of adjusting the retrieval and reuse strategies of the system to improve solution quality. Among the novel aspects of this approach, compared to previous work on introspective reasoning for CBR, are that it applies a unified model for improving the two main stages of the CBR process; that a single failure may prompt multiple forms of learning; and that it performs internal tests to empirically assess the value of changes proposed by the introspective reasoner, to determine which ones should be retained.

Keywords:   case-based reasoning, problem solving, introspective reasoning model

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