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Non-cooperative Tree Creation

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Mathematical Foundations of Computer Science 2006 (MFCS 2006)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 4162))

Abstract

In this paper we consider the connection game, a simple network design game with independent selfish agents that was introduced by Anshelevich et al [4]. In addition we present a generalization called backbone game to model hierarchical network and backbone link creation between existing network structures. In contrast to the connection game each player considers a number of groups of terminals and wants to connect at least one terminal from each group into a network. In both games we focus on an important subclass of tree games, in which every feasible network is guaranteed to be connected.

For tree connection games, in which every player holds 2 terminals, we show that there is a Nash equilibrium as cheap as the optimum network. We give a polynomial time algorithm to find a cheap (2+ε)-approximate Nash equilibrium, which can be generalized to a cheap (3.1+ε)-approximate Nash equilibrium for the case of any number of terminals per player. This improves the guarantee of the only previous algorithm for the problem [4], which returns a (4.65+ε)-approximate Nash equilibrium. Tightness results for the analysis of all algorithms are derived.

For single source backbone games, in which each player wants to connect one group to a common source, there is a Nash equilibrium as cheap as the optimum network and a polynomial time algorithm to find a cheap (1+ε)-approximate Nash equilibrium.

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Hoefer, M. (2006). Non-cooperative Tree Creation. In: Královič, R., Urzyczyn, P. (eds) Mathematical Foundations of Computer Science 2006. MFCS 2006. Lecture Notes in Computer Science, vol 4162. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11821069_45

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  • DOI: https://doi.org/10.1007/11821069_45

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-37791-7

  • Online ISBN: 978-3-540-37793-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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