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Strategic Coloring of a Graph

Escoffier, Bruno; Gourvès, Laurent; Monnot, Jérôme (2010), Strategic Coloring of a Graph, Algorithms and Complexity 7th International Conference, CIAC 2010, Rome, Italy, May 26-28, 2010. Proceedings, Springer : Berlin, p. 155-156

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Type
Communication / Conférence
Date
2010
Conference title
7th International Conference on Algorithms and Complexity CIAC 2010
Conference date
2010-05
Conference city
Rome
Conference country
Italie
Book title
Algorithms and Complexity 7th International Conference, CIAC 2010, Rome, Italy, May 26-28, 2010. Proceedings
Publisher
Springer
Series title
Lecture Notes in Computer Science
Series number
6078
Published in
Berlin
ISBN
978-3-642-13072-4
Pages
155-156
Publication identifier
http://dx.doi.org/10.1007/978-3-642-13073-1_15
Metadata
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Author(s)
Escoffier, Bruno
Gourvès, Laurent
Monnot, Jérôme cc
Abstract (EN)
We study a strategic game where every node of a graph is owned by a player who has to choose a color. A player’s payoff is 0 if at least one neighbor selected the same color, otherwise it is the number of players who selected the same color. The social cost of a state is defined as the number of distinct colors that the players use. It is ideally equal to the chromatic number of the graph but it can substantially deviate because every player cares about his own payoff, whatever how bad the social cost is. Following a previous work done by Panagopoulou and Spirakis [1] on the Nash equilibria of the coloring game, we give worst case bounds on the social cost of stable states. Our main contribution is an improved (tight) bound for the worst case social cost of a Nash equilibrium, and the study of strong equilibria, their existence and how far they are from social optima.
Subjects / Keywords
graphs

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