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Near-optimal anytime coalition structure generation

Record type: Conference or Workshop Item (Paper)

Forming effective coalitions is a major research challenge in the field of multi-agent systems. Central to this endeavour is the problem of determining the best set of agents that should participate in a given team. To this end, in this paper, we present a novel, anytime algorithms designed for this purpose. Our algorithm can generate solutions that either have a tight bound from the optimal or are optimal (depending on the objective) and works by partitioning the space in terms of a small set of elements that represent structures which contain coalitions of particular sizes. It then performs an online heuristic search that prunes the space and only considers valid and non-redundant coalition structures. We empirically show that we are able to find solutions that are, in the worst case, 99% efficient in 0.0043% of the time to find the optimal value by the state of the art dynamic programming (DP) algorithm (for 20 agents), using 33% less memory.

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Citation

Rahwan, T., Ramchurn, S.D., Dang, V.D. and Jennings, N. R. (2007) Near-optimal anytime coalition structure generation At 20th International Joint Conference on Artificial Intelligence (IJCAI), India. , pp. 2365-2371.

More information

Published date: 2007
Venue - Dates: 20th International Joint Conference on Artificial Intelligence (IJCAI), India, 2007-01-01
Organisations: Agents, Interactions & Complexity

Identifiers

Local EPrints ID: 263074
URI: http://eprints.soton.ac.uk/id/eprint/263074
PURE UUID: 4f515871-6bce-49b4-b6f7-4a60a1e38154
ORCID for S.D. Ramchurn: ORCID iD orcid.org/0000-0001-9686-4302

Catalogue record

Date deposited: 06 Oct 2006
Last modified: 18 Jul 2017 08:44

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Contributors

Author: T. Rahwan
Author: S.D. Ramchurn ORCID iD
Author: V.D. Dang
Author: N. R. Jennings

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