论文标题
粗糙喜好的好处
The Benefits of Coarse Preferences
论文作者
论文摘要
我们通过将附近的收益聚集在一起（即以相同的方式对它们进行分类）来研究使自己的实用程序的战略优势。我们的解决方案概念是粗ul-utility平衡（CUE）要求（1）鉴于对手的策略，每个玩家都可以最大化她的粗糙实用程序，并且（2）分类形成最佳答复。我们在各种游戏中描述了提示。特别是，我们表明，只有一个玩家群的回报与所有玩家聚集他们的回报的线索之间存在定性差异，而后一种类型的球员会使玩家比在大型游戏中具有单调外部性的游戏中诱使玩家更好地对待共同玩家。
We study the strategic advantages of coarsening one's utility by clustering nearby payoffs together (i.e., classifying them the same way). Our solution concept, coarse-utility equilibrium (CUE) requires that (1) each player maximizes her coarse utility, given the opponent's strategy, and (2) the classifications form best replies to one another. We characterize CUEs in various games. In particular, we show that there is a qualitative difference between CUEs in which only one of the players clusters payoffs, and those in which all players cluster their payoffs, and that the latter type induce players to treat co-players better than in Nash equilibria in the large class of games with monotone externalities.
