Sensorimotor Exploration/Exploitation with Coordinating Local Predictions

Jean-Charles Quinton 1, 2
1 CORTEX - Neuromimetic intelligence
INRIA Lorraine, LORIA - Laboratoire Lorrain de Recherche en Informatique et ses Applications
Abstract : This contribution aims to show how exploration and exploitation might be tightly intertwined when modeling sensorimotor behaviors with coordinated predictive local representations. In such a framework, learning equals to creating and selecting anticipations to adapt to the dynamics of the agent and its environment. Motor actions are undertaken based on the expected outcome of the anticipations, and anticipations reinforced when successfully matching the dynamics. Reaching goals is thus equivalent to navigating through the sensorimotor space by forming and following chains of coordinated predictions. Although the agent may constantly only try to exploit its knowledge, the presence of multiple dynamic goals, the lack of correct anticipations, interactional noise or external constraint will lead to further exploration and the generation of new task-independent representations.
Type de document :
Poster
4th International Conference on Cognitive Systems (CogSys 2010), Jan 2010, Zürich, Switzerland
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https://hal.inria.fr/inria-00536870
Contributeur : Jean-Charles Quinton <>
Soumis le : mercredi 17 novembre 2010 - 11:20:42
Dernière modification le : mercredi 23 mai 2018 - 17:58:06
Document(s) archivé(s) le : vendredi 18 février 2011 - 02:44:18

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Quinton_CogSys2010_poster.pdf
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  • HAL Id : inria-00536870, version 1

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Jean-Charles Quinton. Sensorimotor Exploration/Exploitation with Coordinating Local Predictions. 4th International Conference on Cognitive Systems (CogSys 2010), Jan 2010, Zürich, Switzerland. 〈inria-00536870〉

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