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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geprüft am 13.05.2024