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Modélisation des stratégies de génération de choix variables chez la souris

Abstract : Better understanding the cognitive processes involved in decision-making and adaptive behaviors is fundamental for the artificial intelligence community. In this paper, we study the cognitive strategies allowing the generation of random choices by mice. We use a reinforcement learning (RL) algorithm to model the animals' behavior in a task rewarding non-repetitive choice sequences. Our results show that mice can solve the task and suggest they do so by adjusting the parameters of their decision-making process.
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https://hal.archives-ouvertes.fr/hal-02328815
Contributor : Jérôme Lang <>
Submitted on : Wednesday, October 23, 2019 - 12:38:35 PM
Last modification on : Tuesday, March 17, 2020 - 2:34:02 PM
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  • HAL Id : hal-02328815, version 1

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Marwen Belkaid, Jérémie Naudé, Philippe Faure, Olivier Sigaud. Modélisation des stratégies de génération de choix variables chez la souris. Conférence Nationale en Intelligence Artificielle, Jul 2019, Toulouse, France. ⟨hal-02328815⟩

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