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  3. When humans fail to make optimal decisions in strategic games and economic gambles, researchers typically try to explain why tha

When humans fail to make optimal decisions in strategic games and economic gambles, researchers typically try to explain why tha

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问题    When humans fail to make optimal decisions in strategic games and economic gambles, researchers typically try to explain why that behaviour is biased. 【F1】To this end, they search for mechanisms that cause human behaviour to deviate from what seems to be the rational optimum. But perhaps human behaviour is not biased; perhaps research assumptions about the optimality of strategies are incomplete. In the one-shot anonymous symmetric ultimatum game (UG) (最后通牒游戏), humans fail to play optimally as defined by the Nash equilibrium. 【F2】However, the distinction between kin and non-kin—with kin detection being a key evolutionary adaption—is often neglected when deriving the "optimal" strategy.
   In the one-shot anonymous ultimatum game (UG), two players—a proposer and a responder—are tasked with an economic decision. First, the proposer suggests how to split a resource. This resource, provided by a third party, is set to 1.0. The offer defines the fraction that the proposer is willing to give to the responder. If the offer meets the responder’s demands, the resource will be split accordingly. If the offer is rejected, neither player will receive anything. The rational and most optimal strategy in this game differs markedly from the strategy observed in humans. This gap has been explained by showing that humans take other elements, such as the social context, into account when making decisions. 【F3】It comes to a conclusion that allowing players to discern between opponents that are kin and opponents that are not kin leads to the evolution of strategies that resemble those observed in humans—even if kinship detection is imperfect.
   To understand the evolution of strategies, a computational evolutionary mode was used to define a population of strategies as a set of points within the strategy space. We randomly selected a set of strategies to form the population of the first generation. 【F4】These selected strategies all played against each other, and not against every possible strategy—much as an organism does not interact with all other possible organisms, but only with those alive at the time. The next generation was formed from those strategies that earned a higher payoff playing the UG. Specifically, the probability of an organism having offspring was defined by the payoff it received divided by the total payoff the entire population received. However, variations could move the points defining the offspring’s strategy around in this space, providing a new set of opponents. 【F5】How this set of points moved through this space over time approximated how evolution would act on organisms whose existence depended solely on playing the UG.
【F2】
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答案然而，亲缘与非亲缘之间的区别——亲缘鉴别是进化适应关键的一步——在推算最优化策略时往往被忽略。
解析 ①本句实际为主从复合句，只是when引导的时间状语从句省略了主语humans和系动词are，基本时态为现在时，主句语态为一般现在时的被动语态。②介词短语between kin and non-kin为后置定语，修饰distinction，the distinction between A and B表示“A与B的区别”。③两个破折号之间的成分为插入语，是对信息的补充，在语法上为独立成分。
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