Congestion games with mixed objectives

Matthias Feldotto, Lennart Leder, Alexander Skopalik

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Abstract

We study a new class of games which generalizes congestion games and its bottleneck variant. We introduce congestion games with mixed objectives to model network scenarios in which players seek to optimize for latency and bandwidths alike. We characterize the existence of pure Nash equilibria (PNE) and the convergence of improvement dynamics. For games that do not possess PNE we give bounds on the approximation ratio of approximate pure Nash equilibria.
Original languageEnglish
Title of host publicationCombinatorial optimization and applications
Subtitle of host publication10th International Conference, COCOA 2016, Hong Kong, China, December 16-18, 2016. Proceedings
EditorsT-H. Hubert Chan, Minming Li, Lusheng Wang
Place of PublicationCham
PublisherSpringer
Pages655-670
Number of pages16
ISBN (Electronic)978-3-319-48749-6
ISBN (Print)978-3-319-48748-9
DOIs
Publication statusPublished - 20 Oct 2017
Externally publishedYes

Publication series

NameLecture Notes in Computer Science
PublisherSpringer
Volume10043
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Keywords

  • Approximation
  • Bottleneck congestion games
  • Complexity
  • Congestion games
  • Convergence
  • Existence
  • Pure Nash equilibrium
  • n/a OA procedure

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