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29 April 2009Distributed task allocation in dynamic environments
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, 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); https://doi.org/10.1117/12.821901