Towards a Computational Cognitive Neuroscience Model of Creativity
Overview & Synopsis
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.
Indexed from repository: HAL Open Science
(
hal.science)
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Document Information
| Document Title | Towards a Computational Cognitive Neuroscience Model of Creativity |
|---|---|
| Author / Organization | Hugo Chateau-Laurent, Frédéric Alexandre |
| Subject & Discipline | Multidisciplinary Academic Open Research |
| Categories | Science & Mathematics |
| Publication Year | 2021 |
| License / Rights | Open Access / Creative Commons |
| Resource Verification | Listed PDF (Verification Pending) |
| Original Host Website |
HAL Open Science
(hal.science)
|
| File Format | application/pdf (Portable Document Format) |
| Language | EN |
| Catalog ID | DOC-118117 |
| Original Source Link | Visit Source Page on hal.science » |