Analogy as integrating framework for human-level reasoning

Autor(en): Schwering, A.
Krumnack, U. 
Kühnberger, K.-U. 
Gust, H.
Stichwörter: analogical reasoning; analogy; Classical approach; Cognitive ability; cognitive model; Cognitive process; integrated cognitive abilities; Reasoning capabilities; Reasoning mechanism, Artificial intelligence
Erscheinungsdatum: 2008
Herausgeber: IOS Press
Journal: Frontiers in Artificial Intelligence and Applications
Volumen: 171
Ausgabe: 1
Startseite: 419
Seitenende: 423
Zusammenfassung: 
Human-level reasoning is manifold and comprises a wide variety of different reasoning mechanisms. So far, artificial intelligence has focused mainly on using the classical approaches deduction, induction, and abduction to enable machines with reasoning capabilities. However, the approaches are limited and do not reflect the mental, cognitive process of human reasoning very well. We contend that analogical reasoning is the driving force behind human thinking and therefore propose analogy as an integrating framework for the variety of human-level reasoning mechanisms. © 2008 The authors and IOS Press. All rights reserved.
ISBN: 9781586038335
ISSN: 09226389
Externe URL: https://www.scopus.com/inward/record.uri?eid=2-s2.0-84875926410&partnerID=40&md5=ccf81f9cf7b53ba347f58490220b0cdd

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