Discounted Repeated Games Having Computable Strategies with No Computable Best Response under Subgame-Perfect Equilibria

IF 1.1 Q4 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
Jakub Dargaj, J. Simonsen
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引用次数: 1

Abstract

A classic result in computational game theory states that there are infinitely repeated games where one player has a computable strategy that has a best response, but no computable best response. For games with discounted payoff, the result is known to hold for a specific class of games—essentially generalizations of Prisoner’s Dilemma—but until now, no necessary and sufficient condition is known. To be of any value, the computable strategy having no computable best response must be part of a subgame-perfect equilibrium, as otherwise a rational, self-interested player would not play the strategy. We give the first necessary and sufficient conditions for a two-player repeated game \( G \) to have such a computable strategy with no computable best response for all discount factors above some threshold. The conditions involve existence of a Nash equilibrium of the repeated game whose discounted payoffs satisfy certain conditions involving the min–max payoffs of the underlying stage game. We show that it is decidable in polynomial time in the size of the payoff matrix of \( G \) whether it satisfies these conditions.
子博弈完全平衡下具有可计算策略且无可计算最佳响应的折扣重复博弈
计算博弈论中的一个经典结果指出,存在无限重复的游戏,其中一个玩家有一个可计算的策略,该策略具有最佳响应,但没有可计算的最佳响应。对于收益折现的游戏,已知结果适用于特定类别的游戏——本质上是对囚徒困境的概括——但到目前为止,还不知道充分必要的条件。要想有任何价值,没有可计算最佳响应的可计算策略必须是子游戏完美平衡的一部分,否则理性、自利的玩家就不会玩这个策略。我们给出了两人重复博弈(G\)具有这样一个可计算策略的第一个充要条件,对于所有超过某个阈值的折扣因子,该策略没有可计算的最佳响应。条件涉及重复博弈的纳什均衡的存在,其贴现收益满足涉及基础阶段博弈的最小-最大收益的某些条件。我们证明了在多项式时间内,在\(G\)的支付矩阵的大小下,它是否满足这些条件是可判定的。
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来源期刊
ACM Transactions on Economics and Computation
ACM Transactions on Economics and Computation COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS-
CiteScore
3.80
自引率
0.00%
发文量
11
期刊介绍: The ACM Transactions on Economics and Computation welcomes submissions of the highest quality that concern the intersection of computer science and economics. Of interest to the journal is any topic relevant to both economists and computer scientists, including but not limited to the following: Agents in networks Algorithmic game theory Computation of equilibria Computational social choice Cost of strategic behavior and cost of decentralization ("price of anarchy") Design and analysis of electronic markets Economics of computational advertising Electronic commerce Learning in games and markets Mechanism design Paid search auctions Privacy Recommendation / reputation / trust systems Systems resilient against malicious agents.
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