We study an independent best-response dynamics on network games in which the nodes (players) decide to revise their strategies independently with some probability. We provide several bounds on the convergence time to an equilibrium as a function of this probability, the degree of the network, and the potential of the underlying games. These dynamics are somewhat more suitable for distributed environments than the classical better- and best-response dynamics where players revise their strategies “sequentially”, i.e., no two players revise their strategies simultaneously.
CITATION STYLE
Penna, P., & Viennot, L. (2019). Independent Lazy Better-Response Dynamics on Network Games. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 11485 LNCS, pp. 352–364). Springer Verlag. https://doi.org/10.1007/978-3-030-17402-6_29
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