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Une architecture Multi-agents pour un apprentissage autonome guidé par les émotions
Thèses et HDR   Open Access

Une architecture Multi-agents pour un apprentissage autonome guidé par les émotions

Jérôme Chapelle
Doctoral, Université de Montpellier
11/12/2006

Résumé

Artificial Intelligence Robotics Emotional agents Machine Learning Multi-agent Systems Robotique Agent émotionnel Apprentissage Systèmes multi agents Intelligence artificielle Bio-inspirée
In this thesis,we present a multi-agent architecture giving a robot the ability to learn in an unsupervised way. An autonomous learning is achieved by using emotions which represent basic needs for the learning entity. The learning process we propose is inspired by the organization in cortical colums and areas of a libing being brain. The organizational multi-agent architecture is used to describe the interaction among entities involved in the learning process.

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