Himalaya framework: hierarchical intelligent mobile agents for building large-scale and adaptive systems based on ambients

Authors:
Amal El Fallah Seghrouchni;Alexandru Suna
Affiliations:
LIP6, University of Paris 6, CNRS-UMR 7606, Paris, France;LIP6, University of Paris 6, CNRS-UMR 7606, Paris, France
Venue:
MMAS'04 Proceedings of the First international conference on Massively Multi-Agent Systems
Year:
2004

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Abstract

This paper presents a framework called Himalaya that allows to design mobile multi-agent systems (MMAS) deployed on several computers. An MMAS is a set of connected hierarchies of intelligent agents. Every agent (i.e. a node) contains cognitive elements (e.g. knowledge, goals, capabilities), processes and sub-agents. An agent is also mobile, he can move inside his hierarchy or to a remote one. In addition, an agent can dynamically acquire (kind of inheritance) intelligent and computational components from his sub-agents. The mobility and the inheritance as defined in our framework favor a dynamic adaptability and reconfiguring of systems in order to face the increasing complexity of distributed and cooperative applications.