Intranet Tools

nb. next round of REF2013 will NOT be using data from eprints.ecs, but the central university REF interface.

RSS 1.0 Feed
RSS 2.0 Feed
Atom Feed
 

A Distributed Algorithm for Anytime Coalition Structure Generation

Michalak , T., Sroka, J., Rahwan, T., Wooldridge, M., Mcburney, P. and Jennings, N. (2010) A Distributed Algorithm for Anytime Coalition Structure Generation. In: Autonomous Agents And MultiAgent Systems (AAMAS 2010), 14th-18th May, Toronto, Canada. pp. 1007-1014.

Download

[img]
Preview
PDF
2533Kb

Abstract

A major research challenge in multi-agent systems is the problem of partitioning a set of agents into mutually disjoint coalitions, such that the overall performance of the system is optimized. This problem is di�cult because the search space is very large: the number of possible coalition structures increases exponentially with the number of agents. Although several algorithms have been proposed to tackle this Coalition Structure Generation (CSG) problem, all of them suffer from being inherently centralized, which leads to the existence of a performance bottleneck and a single point of failure. In this paper, we develop the first decentralized algorithm for solving the CSG problem optimally. In our algorithm, the necessary calculations are distributed among the agents, instead of being carried out centrally by a single agent (as is the case in all the available algorithms in the literature). In this way, the search can be carried out in a much faster and more robust way, and the agents can share the burden of the calculations. The algorithm combines, and improves upon, techniques from two existing algorithms in the literature, namely DCVC [5] and IP [9], and applies novel techniques for filtering the input and reducing the inter-agent communication load.

Item Type:Conference or Workshop Item
Creator/Authors:
Tomasz Michalak
Jacek Sroka
Talal Rahwan
Michael Wooldridge
Peter Mcburney
Nicholas Jennings
Research Group:Current ECS Groups > Agents, Interaction and Complexity
Old ECS Groups > Intelligence, Agents, Multimedia
Date:May 2010
Information about this record:
Citations:Google Scholar: 2
Downloads (2010):118
ID Code:18491
Last Modified:02 Jan 2012 14:37
Deposited On:10 Feb 2010 10:47 by Rahwan, Talal

Tools & Metadata

Download Statistics

Last month

Last year

Members of ECS may view the download statistics dashboard for this record.

Corrections

ECS staff and postgraduates may modify this record

  Welcome from Deputy Head of School (Research) Research Prospectus Industrial Partnerships New Research Students Notes for Guidance New Research Students Notes for Guidance
The ECS EPrints Repository supports OAI 2.0 with a base URL of http://eprints.ecs.soton.ac.uk/cgi/oai2

EPrints is free software developed by the University of Southampton to facilitate Open Access to research.
EPrints