Abstract
Analogical inference is a special case of inductive inference where knowledge is transferred from a known base domain to a new target domain. Analogy is a prominent research topic in cognitive science: In philosophy, it is discussed as source of creative thinking; in linguistics, similarity-creating metaphors are studied as a special case of analogical reasoning; in psychology, analogical reasoning and problem solving are researched in innumerous experiments and there exist several process models of analogical problem solving and learning; in artificial intelligence, besides some general approaches to analogy, programming by analogy and case-based reasoning are investigated.
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© 2003 Springer-Verlag Berlin Heidelberg
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Schmid, U. (2003). 10. Analogical Reasoning and Generalization. In: Inductive Synthesis of Functional Programs. Lecture Notes in Computer Science(), vol 2654. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-44846-4_10
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DOI: https://doi.org/10.1007/978-3-540-44846-4_10
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-40174-2
Online ISBN: 978-3-540-44846-4
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