Do players reason by forward induction in dynamic perfect information games?

Sujata Ghosh, A. Heifetz, R. Verbrugge
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引用次数: 12

Abstract

We conducted an experiment where participants played a perfect-information game against a computer, which was programmed to deviate often from its backward induction strategy right at the beginning of the game. Participants knew that in each game, the computer was nevertheless optimizing against some belief about the participant's future strategy. It turned out that in the aggregate, participants were likely to respond in a way which is optimal with respect to their best-rationalization extensive form rationalizability conjecture - namely the conjecture that the computer is after a larger prize than the one it has foregone, even when this necessarily meant that the computer has attributed future irrationality to the participant when the computer made the first move in the game. Thus, it appeared that participants applied forward induction. However, there exist alternative explanations for the choices of most participants; for example, choices could be based on the extent of risk aversion that participants attributed to the computer in the remainder of the game, rather than to the sunk outside option that the computer has already foregone at the beginning of the game. For this reason, the results of the experiment do not yet provide conclusive evidence for Forward Induction reasoning on the part of the participants.
动态完全信息博弈中玩家是否采用正向归纳法进行推理?
我们做了一个实验,让参与者和电脑玩一个完全信息游戏,电脑在游戏开始时经常偏离逆向归纳策略。参与者知道,在每一场游戏中,计算机都会根据参与者的未来策略进行优化。结果表明,总的来说,参与者可能会以一种最优的方式回应他们的最佳合理化广泛形式合理化猜想——即计算机追求比它放弃的更大的奖励的猜想,即使这必然意味着当计算机在游戏中迈出第一步时,计算机将未来的非理性归因于参与者。因此,参与者似乎采用了正向归纳法。然而,对于大多数参与者的选择存在其他解释;例如,选择可以基于参与者在游戏剩余时间内对计算机的风险厌恶程度,而不是基于计算机在游戏开始时已经放弃的外部选项。因此,实验结果还不能为参与者的前向归纳推理提供确凿的证据。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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