Depth of Reasoning and Incentives ∗

semanticscholar(2013)

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摘要
We introduce a model of strategic thinking in games of initial response. Unlike standard levelk models, in this framework the player’s ‘depth of reasoning’ is endogenously determined, and it can be disentangled from his beliefs over his opponent’s cognitive bound. In our approach, individuals act as if they follow a cost-benefit analysis. The depth of reasoning is a function of the player’s cognitive abilities and his payoffs. The costs are exogenous and represent the game theoretical sophistication of the player; the benefit instead is related to the game payoffs. Behavior is in turn determined by the individual’s depth of reasoning and his beliefs about the reasoning process of the opponent. Thus, in our framework, payoffs not only affect individual choices in the traditional sense, but they also shape the cognitive process itself. Our model delivers testable implications on players’ chosen actions as incentives and opponents change. We then test the model’s predictions with an experiment. We administer different treatments that vary beliefs over payoffs and opponents, as well as beliefs over opponents’ beliefs. The results of this experiment, which are not accounted for by current models of reasoning in games, strongly support our theory. Our approach therefore serves as a novel, unifying framework of strategic thinking which allows predictions across games.
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