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  1. Transactions on Economics and Computation (TEAC)
  2. ACM Transactions on Economics and Computation (TEAC) : Volume 2
  3. Issue 4, October 2014
  4. Weighted Congestion Games: The Price of Anarchy, Universal Worst-Case Examples, and Tightness
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ACM Transactions on Economics and Computation (TEAC) : Volume 5
ACM Transactions on Economics and Computation (TEAC) : Volume 4
ACM Transactions on Economics and Computation (TEAC) : Volume 3
ACM Transactions on Economics and Computation (TEAC) : Volume 2
Issue 4, October 2014
Near-Optimality in Covering Games by Exposing Global Information
Weighted Congestion Games: The Price of Anarchy, Universal Worst-Case Examples, and Tightness
On the Power of Deterministic Mechanisms for Facility Location Games
Implementation and Computation of a Value for Generalized Characteristic Function Games
Altruism and Its Impact on the Price of Anarchy
Issue 3, July 2014
Issue 2, June 2014
Issue 1, March 2014
ACM Transactions on Economics and Computation (TEAC) : Volume 1

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Weighted Congestion Games: The Price of Anarchy, Universal Worst-Case Examples, and Tightness

Content Provider ACM Digital Library
Author Gairing, Martin Bhawalkar, Kshipra Roughgarden, Tim
Copyright Year 2014
Abstract We characterize the Price of Anarchy (POA) in weighted congestion games, as a function of the allowable resource cost functions. Our results provide as thorough an understanding of this quantity as is already known for nonatomic and unweighted congestion games, and take the form of universal (cost function-independent) worst-case examples. One noteworthy by-product of our proofs is the fact that weighted congestion games are “tight,” which implies that the worst-case price of anarchy with respect to pure Nash equilibria, mixed Nash equilibria, correlated equilibria, and coarse correlated equilibria are always equal (under mild conditions on the allowable cost functions). Another is the fact that, like nonatomic but unlike atomic (unweighted) congestion games, weighted congestion games with trivial structure already realize the worst-case POA, at least for polynomial cost functions. We also prove a new result about unweighted congestion games: the worst-case price of anarchy in symmetric games is as large as in their more general asymmetric counterparts.
Starting Page 1
Ending Page 23
Page Count 23
File Format PDF
ISSN 21678375
e-ISSN 21678383
DOI 10.1145/2629666
Volume Number 2
Issue Number 4
Journal ACM Transactions on Economics and Computation (TEAC)
Language English
Publisher Association for Computing Machinery (ACM)
Publisher Date 2014-10-28
Publisher Place New York
Access Restriction One Nation One Subscription (ONOS)
Subject Keyword Nash equilibria Price of Anarchy Weighted congestion games
Content Type Text
Resource Type Article
Subject Economics and Econometrics Marketing Computational Mathematics Statistics and Probability Computer Science
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