The AMAS theory for complex problem solving based on self-organizing cooperative agents
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Type: Conference or Workshop Item (Paper)

Capera, D. and Georgé, J.P. and Gleizes, M.-P. and Glize, P. (2003) The AMAS theory for complex problem solving based on self-organizing cooperative agents. In: 1st International workshop on Theory and practice of open computational systems TAPOCS 2003 at IEEE 12th International workshop on Enabling technologies: Infrastructure for collaborative enterprises WETICE 2003, 9 Jun 2003, Johannes Kepler Universitaet, Linz, Austria.

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In this paper, we present an approach for the design of complex adaptive systems, based on adaptive multi-agent systems and emergence. We expound the AMAS theory (Adaptive Multi-Agent Systems) and its technical working. This theory gives local agent design criteria so as to enable the emergence of an organization within the system and thus, of the global function of the system. We also present the theorem of functional adequacy witch ensures that a cooperative self organizing system performs a suitable work. Applications of this theory in the multi-agent system framework led us to define the architecture and a general algorithm for cooperative agents. The originality of our approach lies in the very generic manner our re-organization rules work and that they are completely independent from the function the system has to compute.

Deposited by Mr Sebastian Stein on 08 February 2005

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