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Convergence speed analysis for evolutionary congestion games

机译:演化拥塞游戏的收敛速度分析

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It is well known that any congestion game admits a pure Nash Equilibrium. This paper investigates a particular congestion game such that strategies are exactly the facilities. We prove that for such a congestion game endowed with the nondeterministic best-reply update rule, every strategy profile can reach a Nash equilibrium after at most n iterations; and particularly when the best-reply update rule is deterministic, every strategy profile will enter a limit cycle of length ≤ 2 after at most 3p + 1 iterations, where p and n denote the number of strategies and the number of players, respectively. Besides, based on these results, for a traffic network, we consider a stochastic evolutionary congestion game, and prove that every profile will converge to a Nash equilibrium almost surely.
机译:众所周知,任何拥塞游戏都承认纯纳什均衡。本文研究了一种特定的拥塞博弈,以使策略恰好是便利。我们证明,对于具有不确定性最佳回复更新规则的这种拥塞游戏,每个策略配置文件最多可以在n次迭代后达到Nash均衡;特别是当最佳回复更新规则是确定性的时,每个策略配置文件在最多3p +1次迭代后将进入长度≤2的极限循环,其中p和n分别表示策略数和参与者数。此外,基于这些结果,对于交通网络,我们考虑了一个随机的演化拥塞博弈,并证明了每个配置文件几乎可以肯定地收敛到Nash平衡。

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