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Explanations and Case-Based Reasoning: Foundational Issues

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Advances in Case-Based Reasoning (ECCBR 2004)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 3155))

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Abstract

By design, Case-Based Reasoning (CBR) systems do not need deep general knowledge. In contrast to (rule-based) expert systems, CBR systems can already be used with just some initial knowledge. Further knowledge can then be added manually or learned over time. CBR systems are not addressing a special group of users. Expert systems, on the other hand, are intended to solve problems similar to human experts. Because of the complexity and difficulty of building and using expert systems, research in this area addressed generating explanations right from the beginning. But for knowledge-intensive CBR applications, the demand for explanations is also growing. This paper is a first pass on examining issues concerning explanations produced by CBR systems from the knowledge containers perspective. It discusses what naturally can be explained by each of the four knowledge containers (vocabulary, similarity measures, adaptation knowledge, and case base) in relation to scientific, conceptual, and cognitive explanations.

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Author information

Authors and Affiliations

  1. Knowledge-Based Systems Group, Department of Computer Science, University of Kaiserslautern, P.O. Box 3049, 67653, Kaiserslautern, Germany

    Thomas R. Roth-Berghofer

  2. Knowledge Management Department, German Research Center for Artificial Intelligence DFKI GmbH, Erwin-Schrödinger-Straße 57, 67663, Kaiserslautern, Germany

    Thomas R. Roth-Berghofer

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  1. Thomas R. Roth-Berghofer
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Editors and Affiliations

  1. Department of Computer Science and Electronics, Mälardalen University, SE-72123, Västerås, Sweden

    Peter Funk

  2. Facultad de Informática, Universidad Complutense de Madrid, 28040, Madrid, Spain

    Pedro A. González Calero

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Roth-Berghofer, T.R. (2004). Explanations and Case-Based Reasoning: Foundational Issues. In: Funk, P., González Calero, P.A. (eds) Advances in Case-Based Reasoning. ECCBR 2004. Lecture Notes in Computer Science(), vol 3155. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-28631-8_29

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  • DOI: https://doi.org/10.1007/978-3-540-28631-8_29

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-22882-0

  • Online ISBN: 978-3-540-28631-8

  • eBook Packages: Springer Book Archive

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