Computing Approximate Nash Equilibria in Network Congestion Games with Polynomially Decreasing Cost Functions

  • Vittorio Bilò
  • Michele Flammini
  • Gianpiero Monaco
  • Luca Moscardelli
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9470)


We consider the problem of computing approximate Nash equilibria in monotone congestion games with polynomially decreasing cost functions. This class of games generalizes the one of network congestion games, while polynomially decreasing cost functions also include the fundamental Shapley cost sharing value. We design an algorithm that, given a parameter \(\gamma >1\) and a subroutine able to compute \(\rho \)-approximate best-responses, outputs a \(\gamma (1/p+\rho )\)-approximate Nash equilibrium, where p is the number of players. The computational complexity of the algorithm heavily depends on the choice of \(\gamma \). In particular, when \(\gamma \in O(1)\), the complexity is quasi-polynomial, while when \(\gamma \in \varOmega (p^\epsilon )\), for a fixed constant \(\epsilon >0\), it becomes polynomial. Our algorithm provides the first non-trivial approximability results for this class of games and achieves an almost tight performance for network games in directed graphs. On the negative side, we also show that the problem of computing a Nash equilibrium in Shapley network cost sharing games is PLS-complete even in undirected graphs, where previous hardness results where known only in the directed case.


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© Springer-Verlag Berlin Heidelberg 2015

Open Access This chapter is distributed under the terms of the Creative Commons Attribution Noncommercial License, which permits any noncommercial use, distribution, and reproduction in any medium, provided the original author(s) and source are credited.

Authors and Affiliations

  • Vittorio Bilò
    • 1
  • Michele Flammini
    • 2
    • 3
  • Gianpiero Monaco
    • 2
  • Luca Moscardelli
    • 4
  1. 1.Department of Mathematics and PhysicsUniversity of SalentoLecceItaly
  2. 2.DISIM - University of L’AquilaL’AquilaItaly
  3. 3.Gran Sasso Science InstituteL’AquilaItaly
  4. 4.Department of Economic StudiesUniversity of Chieti-PescaraPescaraItaly

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