Skip to Main content Skip to Navigation
Book sections

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.
Document type :
Book sections
Complete list of metadata
Contributor : Amedeo Napoli Connect in order to contact the contributor
Submitted on : Saturday, January 23, 2021 - 5:25:48 PM
Last modification on : Wednesday, November 3, 2021 - 8:14:53 AM
Long-term archiving on: : Saturday, April 24, 2021 - 6:07:51 PM


Files produced by the author(s)



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⟩



Les métriques sont temporairement indisponibles