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Conference Papers Year : 2021

Towards a Computational Cognitive Neuroscience Model of Creativity

Vers un modèle de neurosciences cognitives computationnelles de la créativité

Hugo Chateau-Laurent
Frédéric Alexandre

Abstract

Recent progress in AI has expanded the boundaries of the cognitive functions that can be simulated, but creativity remains a challenge. Neuroscience sheds light on its mechanisms and its tight relationship with episodic memory and cognitive control, while machine learning provides preliminary models of these mechanisms. We present these lines of research and explain how they can be exploited in the domain of computational creativity in order to further expand the capabilities of AI.
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Dates and versions

hal-03359407 , version 1 (30-09-2021)

Identifiers

  • HAL Id : hal-03359407 , version 1

Cite

Hugo Chateau-Laurent, Frédéric Alexandre. Towards a Computational Cognitive Neuroscience Model of Creativity. IEEE ICCI*CC'21 - 20th IEEE International Conference on Cognitive Informatics and Cognitive Computing, Oct 2021, Banff, Canada. ⟨hal-03359407⟩
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