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Algorithms for cautious reasoning in games

机译:游戏中谨慎推理的算法

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摘要

We provide comparable algorithms for the Dekel-Fudenberg procedure, iterated admissibility, proper rationalizability and full permissibility by means of the notions of likelihood orderings and preference restrictions. The algorithms model reasoning processes whereby each player's preferences over his own strategies are completed by eliminating likelihood orderings. We apply the algorithms for comparing iterated admissibility, proper rationalizability and full permissibility, and provide a sufficient condition under which iterated admissibility does not rule out properly rationalizable strategies. We also use the algorithms to examine an economically relevant strategic situation, namely a bilateral commitment bargaining game. Finally, we discuss the relevance of our algorithms for epistemic analysis.
机译:我们通过似然排序和偏好限制的概念,为Dekel-Fudenberg过程,迭代的可容许性,适当的合理性和完全可容许性提供了可比的算法。该算法对推理过程进行建模,从而通过消除可能性排序来完成每个玩家对自己策略的偏好。我们应用算法来比较迭代可容许性,适当合理性和完全容许性,并提供了一个充分条件,在该条件下迭代可容许性并不排除适当合理化策略。我们还使用算法检查与经济相关的战略形势,即双边承诺谈判博弈。最后,我们讨论了认知分析算法的相关性。

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