Optimal private payoff manipulation against commitment in extensive-form games

IF 1 3区 经济学 Q3 ECONOMICS Games and Economic Behavior Pub Date : 2024-11-19 DOI:10.1016/j.geb.2024.11.008
Yurong Chen, Xiaotie Deng, Yuhao Li
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Abstract

Stackelberg equilibrium describes the optimal strategies of a player, when she (the leader) first credibly commits to a strategy. Her opponent (the follower) will best respond to her commitment. To compute the optimal commitment, a leader must learn enough follower's payoff information. The follower can then potentially provide fake information, to induce a different final game outcome that benefits him more than when he truthfully behaves.
We study such follower's manipulation in extensive-form games. For all four settings considered, we characterize all the inducible game outcomes. We show the polynomial-time tractability of finding the optimal payoff function to misreport. We compare the follower's optimal attainable utilities among different settings, with the true game fixed. In particular, one comparison shows that the follower gets no less when the leader's strategy space expands from pure strategies to behavioral strategies. Our work completely resolves this follower's optimal manipulation problem on extensive-form game trees.
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广泛形式博弈中针对承诺的最优私人报酬操纵
斯塔克尔伯格均衡描述了棋手(领导者)首次可信地承诺采取某种策略时的最优策略。她的对手(追随者)将对她的承诺做出最佳回应。要计算出最优承诺,领导者必须了解足够多的追随者的收益信息。追随者有可能提供虚假信息,从而诱导出不同的最终博弈结果,使自己获得比真实行为更多的利益。对于所考虑的所有四种情况,我们都描述了所有可诱导博弈结果的特征。我们展示了找到误报的最优报酬函数的多项式时间可操作性。在真实博弈固定不变的情况下,我们比较了跟随者在不同情况下的最优效用。其中一项比较显示,当领导者的策略空间从纯粹策略扩展到行为策略时,追随者的收益并没有减少。我们的研究完全解决了广泛形式博弈树上的追随者最优操纵问题。
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来源期刊
CiteScore
1.90
自引率
9.10%
发文量
148
期刊介绍: Games and Economic Behavior facilitates cross-fertilization between theories and applications of game theoretic reasoning. It consistently attracts the best quality and most creative papers in interdisciplinary studies within the social, biological, and mathematical sciences. Most readers recognize it as the leading journal in game theory. Research Areas Include: • Game theory • Economics • Political science • Biology • Computer science • Mathematics • Psychology
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