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2000
Springer

A Plan Fusion Algorithm for Multi-Agent Systems

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A Plan Fusion Algorithm for Multi-Agent Systems
We introduce an algorithm for cooperative planning in multi-agent systems. The algorithm enables the agents to combine (fuse) their plans in order to increase their joint profits. A computational resources and skills framework is developed for representing the planned activities of an agent under time constraints. Using this resource-skill framework, we present an efficient (polynomial time) algorithm that fuses the plans of a group of agents in such a way that their joint profits improve. The framework and the algorithm are illustrated using a simplified example from the freight transport domain.
Mathijs de Weerdt, André Bos, Hans Tonino,
Added 02 Aug 2010
Updated 02 Aug 2010
Type Conference
Year 2000
Where CL
Authors Mathijs de Weerdt, André Bos, Hans Tonino, Cees Witteveen
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