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Bounded Approximate Decentralised Coordination using the Max-Sum Algorithm

Farinelli, Alessandro, Rogers, Alex and Jennings, Nick (2009) Bounded Approximate Decentralised Coordination using the Max-Sum Algorithm At IJCAI-09 Workshop on Distributed Constraint Reasoning (DCR), United States. , pp. 46-59.

Record type: Conference or Workshop Item (Paper)

Abstract

In this paper we propose a novel algorithm that provides bounded approximate solutions for decentralised coordination problems. Our approach removes cycles in any general constraint network by eliminating dependencies between functions and variables which have the least impact on the solution quality. It uses the max-sum algorithm to optimally solve the resulting tree structured constraint network, providing a bounded approximation specific to the particular problem instance. We formally prove that our algorithm provides a bounded approximation of the original problem and we present an empirical evaluation in a synthetic scenario. This shows that the approximate solutions that our algorithm provides are typically within 95% of the optimum and the approximation ratio that our algorithm provides is typically 1.23.

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More information

Published date: 13 July 2009
Additional Information: Event Dates: 13th July 2009
Venue - Dates: IJCAI-09 Workshop on Distributed Constraint Reasoning (DCR), United States, 2009-07-13
Organisations: Agents, Interactions & Complexity

Identifiers

Local EPrints ID: 267417
URI: http://eprints.soton.ac.uk/id/eprint/267417
PURE UUID: cfdb10fe-90cf-46e1-b7bd-9343c974131e

Catalogue record

Date deposited: 29 May 2009 09:21
Last modified: 18 Jul 2017 07:04

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Contributors

Author: Alessandro Farinelli
Author: Alex Rogers
Author: Nick Jennings

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