Using Introspective Reasoning to Improve CBR System Performance

@inproceedings{Arcos2008UsingIR,
  title={Using Introspective Reasoning to Improve CBR System Performance},
  author={Josep Llu{\'i}s Arcos and O ˘ guz Mulayim and David B. Leake and Michael T. Cox and Aruna Raja},
  year={2008}
}
When AI technologies are applied to real-world problems, it is often difficult for developers to anticipate all the knowledge needed. Previous research has shown that introspective reasoning can be a useful tool for helping to address this problem in case-based reasoning systems, by enabling them to augment their routine learning of cases with learning to make better use of their cases, as problem-solving experience reveals deficiencies in their reasoning process. In this paper we present a new… CONTINUE READING

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