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Short Sequences of Improvement Moves Lead to Approximate Equilibria in Constraint Satisfaction Games

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Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 8768))

Abstract

We present an algorithm that computes approximate pure Nash equilibria in a broad class of constraint satisfaction games that generalize the well-known cut and party affiliation games. Our results improve previous ones by Bhalgat et al. (EC 10) in terms of the obtained approximation guarantee. More importantly, our algorithm identifies a polynomially-long sequence of improvement moves from any initial state to an approximate equilibrium in these games. The existence of such short sequences is an interesting structural property which, to the best of our knowledge, was not known before. Our techniques adapt and extend our previous work for congestion games (FOCS 11) but the current analysis is considerably simpler.

The work was partially supported by the European Social Fund and Greek national funds through the research funding program Thales on “Algorithmic Game Theory” and by a Caratheodory research grant from the University of Patras.

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Caragiannis, I., Fanelli, A., Gravin, N. (2014). Short Sequences of Improvement Moves Lead to Approximate Equilibria in Constraint Satisfaction Games. In: Lavi, R. (eds) Algorithmic Game Theory. SAGT 2014. Lecture Notes in Computer Science, vol 8768. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-44803-8_5

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  • DOI: https://doi.org/10.1007/978-3-662-44803-8_5

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-662-44802-1

  • Online ISBN: 978-3-662-44803-8

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