Abstract
In this paper we present the Case-Based Reasoning (CBR) approach, which over the last few years has grown from a rather specific and isolated research area into a field of widespread interest both from academic and commercial stand, and has been developed to a theory of problem-solving and learning for computers and people.
More explicitly, following an introduction with the basic concepts and a brief historical background of CBR, we focus on the steps of the CBR process, the several types of the CBR methods and the applications of CBR to a wide range of domains. Finally, in our conclusions’ section, we underline the differences between CBR and the classical rule-induction algorithms, we discuss the criticism for CBR methods and we focus on the future trends of research for CBR.
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Voskoglou, M.G. (2008). Case-Based Reasoning: A Recent Theory for Problem-Solving and Learning in Computers and People. In: Lytras, M.D., et al. The Open Knowlege Society. A Computer Science and Information Systems Manifesto. WSKS 2008. Communications in Computer and Information Science, vol 19. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-87783-7_40
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DOI: https://doi.org/10.1007/978-3-540-87783-7_40
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-87782-0
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