AMADEUS: an adaptive multi-agent system to learn a user’s recurring actions in ambient systems

AMADEUS: an adaptive multi-agent system to learn a user’s recurring actions in ambient systems

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<div>Ambient systems are characterized by their dynamics and their huge complexity.</div><div>An important issue in this field is their capability to provide a relevant behaviour in order to satisfy users involved. Multi-agent systems, because of their ability to deal with dynamic,...

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Bibliographic Details
Main Authors: André PÉNINOU, Valérie CAMPS, Valérian GUIVARCH
Format: Article
Language:English
Published: Ediciones Universidad de Salamanca 2013-07-01
Series:Advances in Distributed Computing and Artificial Intelligence Journal
Subjects:
Multi-agent systems
Intelligent environments
Distributed algorithms
Adaptive environments
Online Access:http://campus.usal.es/~revistas_trabajo/index.php/2255-2863/article/view/10087

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http://campus.usal.es/~revistas_trabajo/index.php/2255-2863/article/view/10087

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