The relevance of artificial intelligence for human cognition

Autor(en): Gust, H.
Kühnberger, K.-U. 
Stichwörter: Cognitive systems; Learning systems; Mathematical models; Neural networks, Analogical reasoning; Cognitive abilities; First-order logical theories, Artificial intelligence
Erscheinungsdatum: 2006
Journal: AAAI Spring Symposium - Technical Report
Volumen: SS-06-02
Startseite: 64
Seitenende: 69
Zusammenfassung: 
We will discuss the question whether artificial intelligence can contribute to a better understanding of human cognition. We will introduce two examples in which AI models provide explanations for certain cognitive abilities: The first example examines aspects of analogical reasoning and the second example discusses a possible solution for learning first-order logical theories by neural networks. We will argue that artificial intelligence can in fact contribute to a better understanding of human cognition. Copyright © 2006, American Association for Artificial Intelligence (www.aaai.org). All rights reserved.
Beschreibung: 
Conference of 2006 AAAI Spring Symposium ; Conference Date: 27 March 2006 Through 29 March 2006; Conference Code:68009
ISBN: 9781577352631
Externe URL: https://www.scopus.com/inward/record.uri?eid=2-s2.0-33747187741&partnerID=40&md5=d8e76d41398002d7b1be16ddbe8f2c42

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