Reflective Reasoning in a Case-Based Reasoning Agent

As a Case-Based Reasoning agent (CBR) evolves over time, and solves new problems based on previous experiences, there are some pitfalls that can appear in the problem-solving task. When those troubles arise, is the time to start some reflective reasoning tasks to overcome those problems and to improve the CBR performance. Our proposal is to extend the basic reasoning and learning cycle with some new added reflective tasks such as forgetting cases, learning new cases, updating the case library organisation or re-exploring the case library, and including other strategies such as building meta-cases.

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