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Book Sections Year : 2020

Case-Based Reasoning, Analogy, and Interpolation

Abstract

This chapter presents several types of reasoning based on analogy and similarity. Case-based reasoning, presented in Section 2, consists in searching a case (where a case represents a problem-solving episode) similar to the problem to be solved and to adapt it to solve this problem. Section 3 is devoted to analogical reasoning and to recent developments based on analogical proportion. Interpolative reasoning, presented in Section 4 in the formal setting of fuzzy set representations, is another form of similarity-based reasoning.
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Dates and versions

hal-03119305 , version 1 (23-01-2021)

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Béatrice Fuchs, Jean Lieber, Laurent Miclet, Alain Mille, Amedeo Napoli, et al.. Case-Based Reasoning, Analogy, and Interpolation. Pierre Marquis; Odile Papini; Henri Prade. A Guided Tour of Artificial Intelligence Research, Volume I: Knowledge Representation, Reasoning and Learning, Springer International Publishing, pp.307-339, 2020, A Guided Tour of Artificial Intelligence Research, 978-3-030-06163-0. ⟨10.1007/978-3-030-06164-7_10⟩. ⟨hal-03119305⟩
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