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Reflective Reasoning in a Case-Based Reasoning Agent

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Collaboration between Human and Artificial Societies

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 1624))

Abstract

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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© 1999 Springer-Verlag Berlin Heidelberg

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Sànchez-Marrè, M., Cortés, U., Béjar, J., Roda, I.R., Poch, M. (1999). Reflective Reasoning in a Case-Based Reasoning Agent. In: Padget, J.A. (eds) Collaboration between Human and Artificial Societies. Lecture Notes in Computer Science(), vol 1624. Springer, Berlin, Heidelberg. https://doi.org/10.1007/10703260_9

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  • DOI: https://doi.org/10.1007/10703260_9

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-66930-2

  • Online ISBN: 978-3-540-46624-6

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