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Bottleneck Analysis as a Heuristic for Self-Adaption in Multi-Agent Societies

Christian Gerber
DFKI, DFKI Technical Memos (TM), Vol. 98-01, 1998.


In this paper, we describe an approach to achieve dynamic adaption of an artificial agent society to environment changes. Such changes cause sub-optimalities in the agent society design, leading to overloaded or underloaded agents or agent groups in the society. Our approach provides a mechanism to reveal these sub-optimalities by integrating bottleneck analysis to structural self-adaption in a generic multi-agent framework which allows to incorporate agents of any architecture.