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Decentralised Dynamic Task Allocation Using Overlapping Potential Games

Chapman, Archie, Micillo, Rosa Anna, Kota, Ramachandra and Jennings, Nick (2010) Decentralised Dynamic Task Allocation Using Overlapping Potential Games The Computer Journal, 53, (9), 1462 -1477.

Record type: Article


This paper reports on a novel decentralised technique for planning agent schedules in dynamic task allocation problems. Specifically, we use a stochastic game formulation of these problems in which tasks have varying hard deadlines and processing requirements. We then introduce a new technique for approximating this game using a series of static potential games, before detailing a decentralised method for solving the approximating games that uses the distributed stochastic algorithm. Finally, we discuss an implementation of our approach to a task allocation problem in the RoboCup Rescue disaster management simulator. The results show that our technique performs comparably to a centralised task scheduler (within 6% on average), and also, unlike its centralised counterpart, it is robust to restrictions on the agents’ communication and observation ranges.

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Accepted/In Press date: October 2010
Additional Information: nonValidatingUrl:doi:10.1093/comjnl/bxq023
Organisations: Agents, Interactions & Complexity


Local EPrints ID: 268518
PURE UUID: cdc4314a-a395-466f-8824-4ce4d7a1c83c

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Date deposited: 18 Feb 2010 11:22
Last modified: 18 Jul 2017 06:52

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Author: Archie Chapman
Author: Rosa Anna Micillo
Author: Ramachandra Kota
Author: Nick Jennings

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