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29 April 2009 Distributed task allocation in dynamic environments
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This work investigates the behavior of a distributed team of agents on a dynamic distributed task allocation problem. Previous work finds that a distributed decision making process can effectively assign tasks appropriately to team members even when agents have only local information. We study this problem in a distributed environment in which agents can move, thus causing local neighborhoods to change over time. Results indicate that a higher level of adaptation is clearly required in the dynamic environment. Despite the increased difficulty, the distributed team is able achieve comparable behavior in both static and dynamic environments.
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Sean C. Mondesire, Annie S. Wu, Misty Blowers, and John C. Sciortino Jr. "Distributed task allocation in dynamic environments", Proc. SPIE 7347, Evolutionary and Bio-Inspired Computation: Theory and Applications III, 734708 (29 April 2009);

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