Distributed classification: architecture and cooperation protocol in a multi-agent system for e-health

Authors:
Nicolas Singer;Sylvie Trouilhet;Ali Rammal;Jean-Marie Pecatte
Affiliations:
University of Toulouse, CUFR Champollion, IRIT, Castres, France;University of Toulouse, CUFR Champollion, IRIT, Castres, France;University of Toulouse, CUFR Champollion, IRIT, Castres, France;University of Toulouse, CUFR Champollion, IRIT, Castres, France
Venue:
KES-AMSTA'10 Proceedings of the 4th KES international conference on Agent and multi-agent systems: technologies and applications, Part I
Year:
2010

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Abstract

We propose an agent-based architecture to build classifications from evolutionary and distributed data. In the process, each agent builds a partial classification based on its data and a complete classification is then constructed from the partial ones by comparing them. Agents can collaborate by employing a restricted cooperation protocol. We present an application in the e-health domain, where global behavior patterns are built from activity or physiological data related to elderly people monitored at home by a variety of sensors. A step-by-step example illustrates our proposition.