Algorithms – ESA 2007: 15th Annual European Symposium, by Christos H. Papadimitriou (auth.), Lars Arge, Michael

By Christos H. Papadimitriou (auth.), Lars Arge, Michael Hoffmann, Emo Welzl (eds.)

This e-book constitutes the refereed lawsuits of the fifteenth Annual ecu Symposium on Algorithms, ESA 2007, held in Eilat, Israel, in October 2007 within the context of the mixed convention ALGO 2007.

The sixty three revised complete papers awarded including abstracts of 3 invited lectures have been rigorously reviewed and chosen: 50 papers out of one hundred sixty five submissions for the layout and research music and thirteen out of forty four submissions within the engineering and functions song. The papers handle all present matters in algorithmics achieving from layout and research problems with algorithms over to real-world purposes and engineering of algorithms in a number of fields.

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Algorithms – ESA 2007: 15th Annual European Symposium, Eilat, Israel, October 8-10, 2007. Proceedings

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Additional info for Algorithms – ESA 2007: 15th Annual European Symposium, Eilat, Israel, October 8-10, 2007. Proceedings

Example text

It states that for a user population in equilibrium (corresponding to a symmetric Nash equilibrium), the distribution of tasks to link groups is uniquely determined. Thus the only way in which population equilibria can differ is by how tasks are allocated within a link group. This result is the first key step for establishing the uniqueness of an ESS for a symmetric Bayesian routing game. Theorem 1 (Link Group Uniqueness). Let B be a symmetric Bayesian routing game with n players and two symmetric Nash equilibria pn and (p )n .

Berenbrink and O. Schulte Definition 3. A symmetric Bayesian routing game B = N, W, μ, L, u, P is a routing model N, W, μ, L, P with a utility function u. , pn−1 . , pn−1 )) · p (w) · μ(w). w∈W ∈L Fix a symmetric Bayesian routing game B with n players. , pn ) is a Nash equilibrium if no player can improve their payoff unilaterally by changing their strategy pi . , p) with p repeated k times. Then the mixed strategy p is a best reply to pn−1 if for all mixed strategies p we have u(p; pn−1 ) ≥ u(p ; pn−1 ).

A Nash Equilibrium having a sequence of single-player strategy changes that do not alter their own payoffs but finally lead to a nonequilibrium position, is called transient [6]. Games can have several non-stable and transient Nash Equilibria, and it is unlikely that a system will end up in one of these. Hence it might be interesting to answer first the question which Nash Equilibria are stable, and then to compare the cost of stable equilibria to the cost of the optimal solution (see [6]). Several stability models were suggested in the literature [18].

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