Macarthur, Kathryn S and Stranders, Ruben and Ramchurn, Sarvapali D and Jennings, Nicholas R (2011) A Distributed Anytime Algorithm for Dynamic Task Allocation in Multi-Agent Systems. In: Twenty-Fifth Conference on Artificial Intelligence, August 7-11, 2011, San Francisco. (In Press)
![[img]](../../style/images/fileicons/other.png)
|
PDF (A Distributed Anytime Algorithm for Dynamic Task Allocation in Multi-Agent Systems)
Download (430Kb) | Preview |
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 capabilities: 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) |
|---|---|
| Subjects: | Topics > Agent-based Computing Work Areas > Agile Teaming |
| Divisions: | University of Southampton |
| Depositing User: | Angela Westley |
| Date Deposited: | 10 Aug 2011 10:26 |
| Last Modified: | 22 Mar 2012 09:42 |
| URI: | http://www.orchid.ac.uk/eprints/id/eprint/3 |
Actions (login required)
 |
View Item |
