.. Perception-À-partir-d-'évènements, 90 3.2.3 L'organisation du système multi-agent

E. Si-une-régularité-est-issue-d-'une-série-de-coïncidences and . Est, vraie" jusqu'à ce que l'expérience la contredise . Nous appelons donc "faux positifs" des motifs temporaires qui peuvent être générés par le système mais qui ne semblent pas correspondre à une régularité spécifiée dans le simulateur FIGURE 4.16 ? Distribution du temps d'apprentissage (en nombre d'observations) par

H. Dans, Application des résultats actuels : Autocalibrage d'actions, p.156

A. Annexe, Annexes Plan du chapitre A.1 Arbre des concepts et paradigmes, p.163

A. Annexe, Annexes A.2 Publications Publications [1] Sébastien Mazac, Frédéric Armetta, and Salima Hassas Bootstrapping sensori-motor patterns for a constructivist learning system in continuous environments, ALIFE 14 : the 14th International Conference on the Synthesis and Simulation of Living Systems, 2014.

S. Mazac, F. Armetta, and S. Hassas, Approche décentralisée pour un apprentissage constructiviste en environnement continu : application à l'intelligence ambiante, Journées Francophones sur les Systèmes Multi-Agents (JFSMA), 2015.

S. Mansour, N. Wiest, O. Lefevre, and S. Mazac, Hemis: Hybrid Multi-agent architecture for energy management and home automation, SASO 2012 Sixth IEEE International Conference on Self-Adaptive and Self-Organizing Systems, 2012.
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S. Mansour, O. Lefevre, and S. Mazac, HEMIS : un système multi-agent hybride pour la gestion énergétique des bâtiments, Journées Francophones sur les Systèmes Multi- Agents (JFSMA), 2014.

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