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
 

An Analysis of the Shapley Value and its Uncertainty for the Voting Game

Fatima, S., Wooldridge, M. and Jennings, N. R. (2005) An Analysis of the Shapley Value and its Uncertainty for the Voting Game. In: 7th International Workshop on Agent-Mediated Electronic Commerce, Utrecht, The Netherlands. pp. 39-52.

Download

[img]
Preview
PDF
130Kb

Abstract

The Shapley value provides a unique solution to coalition games and is used to evaluate a player’s prospects of playing a game. Although it provides a unique solution, there is an element of uncertainty associated with this value. This uncertainty in the solution of a game provides an additional dimension for evaluating a player’s prospects of playing the game. Thus, players want to know not only their Shapley value for a game, but also the associated uncertainty. Given this, our objective is to determine the Shapley value and its uncertainty and study the relationship between them for the voting game. But since the problem of determining the Shapley value for this game is #P-complete, we first present a new polynomial time randomized method for determining the approximate Shapley value. Using this method, we compute the Shapley value and correlate it with its uncertainty so as to allow agents to compare games on the basis of both their
Shapley values and the associated uncertainties. Our study shows that, a player’s
uncertainty first increases with its Shapley value and then decreases. This implies that the uncertainty is at its minimum when the value is at its maximum, and that agents do not always have to compromise value in order to reduce uncertainty.

Item Type:Conference or Workshop Item
Creator/Authors:
S. Fatima
M. Wooldridge
N. R. Jennings
Research Group:Old ECS Groups > Intelligence, Agents, Multimedia
Current ECS Groups > Agents, Interaction and Complexity
Date:2005
Information about this record:
Performance Indicator:EZ~03~01~11
Citations:ISI: 1, Google Scholar: 3
Downloads (2010):46
ID Code:11134
Last Modified:23 Sep 2011 10:32
Deposited On:10 Aug 2005 by Earl, Rebecca

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