游戏中的策略教学

Burkhard C. Schipper
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引用次数: 2

摘要

我们发现,在所有有限的博弈中,没有解耦学习启发式导致纳什均衡,玩家有动机采用这种博弈,这将是进化稳定的,或者可以“自我学习”。相反地,玩家有一种动机去策略性地教导一个正在学习的对手,以确保至少获得Stackelberg领导收益。即使我们局限于一般游戏、双人游戏、潜在游戏、具有战略互补的游戏或2x2游戏,这种观察结果也成立,在这些游戏中,学习被认为是“不错的”。它也适用于导致相关均衡、合理性、迭代可容许性或最小约束集的解耦学习启发式。(凝胶c73, d83)
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Strategic Teaching and Learning in Games
We show there is no uncoupled learning heuristic leading to Nash equilibrium in all finite games that a player has an incentive to adopt, that would be evolutionary stable, or that could “learn itself.” Rather, a player has an incentive to strategically teach a learning opponent to secure at least the Stackelberg leader payoff. This observation holds even when we restrict to generic games, two-player games, potential games, games with strategic complements, or 2 × 2 games, in which learning is known to be “nice.” It also applies to uncoupled learning heuristics leading to correlated equilibria, rationalizability, iterated admissibility, or minimal CURB sets. (JEL C73, D83)
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