A Distributed Anytime Algorithm for Dynamic Task Allocation in Multi-Agent Systems


Macarthur, Kathryn, Stranders, Ruben, Ramchurn, Sarvapali and Jennings, Nick (2011) A Distributed Anytime Algorithm for Dynamic Task Allocation in Multi-Agent Systems. In, Twenty-Fifth Conference on Artificial Intelligence (AAAI), San Francisco, USA, 07 - 11 Aug 2011. AAAI Press, 701-706.

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Description/Abstract

We introduce a novel distributed algorithm for multi-agent task allocation problems where the sets of tasks and agents constantly change over time. We build on an existing anytime algorithm (fast-max-sum), and give it significant new capa- bilities: namely, an online pruning procedure that simplifies the problem, and a branch-and-bound technique that reduces the search space. This allows us to scale to problems with hundreds of tasks and agents. We empirically evaluate our algorithm against established benchmarks and find that, even in such large environments, a solution is found up to 31% faster, and with up to 23% more utility, than state-of-the-art approximation algorithms. In addition, our algorithm sends up to 30% fewer messages than current approaches when the set of agents or tasks changes.

Item Type: Conference or Workshop Item (Paper)
Additional Information: Event Dates: August 7-11, 2011
ISBNs: 9781577355076 (electronic)
Divisions: Faculty of Physical Sciences and Engineering > Electronics and Computer Science > Agents, Interactions & Complexity
ePrint ID: 272233
Date Deposited: 28 Apr 2011 11:16
Last Modified: 14 Apr 2014 11:35
Projects:
HUMAN-AGENT COLLECTIVES: FROM FOUNDATIONS TO APPLICATIONS [ORCHID]
Funded by: EPSRC (EP/I011587/1)
Led by: Nick Jennings
1 January 2011 to 31 December 2015
Further Information:Google Scholar
URI: http://eprints.soton.ac.uk/id/eprint/272233

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