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Autor/in | De Garrido, Luis |
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Titel | Conceptual Design of a Creative Artificial Intelligence System Based on the Neurocognitive Bases of Human Creativity in the Brain |
Quelle | In: Creativity Research Journal, 34 (2022) 3, S.273-294 (22 Seiten)
PDF als Volltext |
Zusatzinformation | ORCID (De Garrido, Luis) |
Sprache | englisch |
Dokumenttyp | gedruckt; online; Zeitschriftenaufsatz |
ISSN | 1040-0419 |
DOI | 10.1080/10400419.2021.2005309 |
Schlagwörter | Artificial Intelligence; Brain; Creativity; Program Design; Neurological Organization; Cognitive Processes; Computer Science; Algorithms; Executive Function; Short Term Memory; Brain Hemisphere Functions; Emotional Response; Cooperation; Computer System Design; Information Processing |
Abstract | The main objective of this paper is the conceptual design of a computational AI system that emulates human creativity. To do this, extensive research has been done on recent discoveries about the neural bases of human creativity. As a result, eleven neurocognitive factors have been identified on which the tremendous creative capacity of the human brain is based. The integration of these factors has made it possible to create a neurocognitive model of human creativity. The analysis of each of creative neurocognitive structures separately suggests certain characteristics that must be present in the structure of a creative computational system to emulate brain creativity. Properly integrating these characteristics, a general architecture for a creative multi-agent system has been proposed, as well as the guidelines for the correct representation of knowledge. Based on this general architecture a creative computational system can be implemented for a specific field of knowledge, or general purpose. (As Provided). |
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Erfasst von | ERIC (Education Resources Information Center), Washington, DC |
Update | 2024/1/01 |