The University of Southampton
University of Southampton Institutional Repository

Congestion games with load-dependent failures: identical resources

Penn, Michal, Polukarov, Maria and Tennenholtz, Moshe (2009) Congestion games with load-dependent failures: identical resources [in special issue: Special Section of Games and Economic Behavior Dedicated to the 8th ACM Conference on Electronic Commerce] Games and Economic Behavior, 67, (1), pp. 156-173. (doi:10.1016/j.geb.2009.03.004).

Record type: Article


We define a new class of games---congestion games with load-dependent failures (CGLFs). In a CGLF each player can choose a subset of a set of available resources in order to try and perform his task. We assume that the resources are identical but that players' benefits from successful completion of their tasks may differ. Each resource is associated with a cost of use and failure probability which are load-dependent. Although CGLFs in general do not have a pure strategy Nash equilibrium, we prove the existence of a pure strategy Nash equilibrium in every CGLF with nondecreasing cost functions. Moreover, we present a polynomial time algorithm for computing such an equilibrium.

PDF CGLF_GEB_12Mar2009.pdf - Accepted Manuscript
Download (315kB)

More information

Published date: September 2009
Keywords: congestion games, load-dependent resource failures, pure strategy nash equilibrium, algorithms
Organisations: Agents, Interactions & Complexity


Local EPrints ID: 267882
ISSN: 0899-8256
PURE UUID: a3b371d5-7622-46a7-86ab-23c4e7c403e1

Catalogue record

Date deposited: 16 Sep 2009 19:59
Last modified: 18 Jul 2017 06:58

Export record



Author: Michal Penn
Author: Maria Polukarov
Author: Moshe Tennenholtz

University divisions

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton:

ePrints Soton supports OAI 2.0 with a base URL of

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.