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 randomised method for the shapely value for the voting game.

Fatima, S. S., Wooldridge, M. and Jennings, N. R. (2007) A randomised method for the shapely value for the voting game. In: 6th International Joint Conference on Autonomous Agents and Multi-agent Systems., Hawaii, USA. pp. 955-962.

Download

[img]
Preview
PDF
135Kb

Abstract

The Shapley value is one of the key solution concepts for coalition games. Its main advantage is that it provides a unique and fair solution, but its main problem is that, for many coalition games, the Shapley value cannot be determined in polynomial time. In particular, the problem of finding this value for the voting game is known to be #P-complete in the general case. However, in this paper, we show that there are some specific voting games for which the problem is computationally tractable. For other general voting games, we overcome the problem of computational complexity by presenting a new randomized method for determining the approximate Shapley value. The time complexity of this method is linear in the number of players. We also show, through empirical studies, that the percentage error for the proposed method is always less than 20% and, in most cases, less than 5%.

Item Type:Conference or Workshop Item
Creator/Authors:
S.S Fatima
M. Wooldridge
N. R. Jennings
Research Group:Old ECS Groups > Intelligence, Agents, Multimedia
Current ECS Groups > Agents, Interaction and Complexity
Date:2007
Information about this record:
Performance Indicator:EZ~03~01~04
Citations:
Downloads (2010):17
ID Code:14220
Last Modified:23 Sep 2011 10:35
Deposited On:22 Jun 2007 by Webb, Bec

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