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Cooperation and Coordination in the Turn-Taking Dilemma

机译:转弯困境中的合作与协调

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In many real-world situations, "cooperation" in the simple sense of the Prisoner's Dilemma is not sufficient for success: instead, cooperators must precisely coordinate more complex behaviors in a noisy environment. We investigate one such model, the Turu-Taking Dilemma, a variant of the repeated Prisoner's Dilemma in which the highest total payoff is achieved not by simultaneous mutual cooperation, but by taking turns defecting (alternating temptation and sucker payoffs). The Turn-Taking Dilemma more accurately models interactions where players must take short-term losses for long-term gains: situations marked by the intricate give-and-take of bargaining and compromise. Using "evolutionary dominance" as a general measure of performance, we investigated which strategies are most successful in Turn-Taking Dilemma interactions. Our experiments demonstrate that turn-taking can be achieved in a noisy environment, even when agents have strict resource constraints (limited memory strategies). Top strategies such as EXALT_2 can effectively coordinate turn-taking under noise, while exploiting cooperators and resisting exploitation by defectors; these strategies are likely to achieve success in the variety of real-world interactions modeled by the Turn-Taking Dilemma
机译:在许多现实世界中,简单的囚徒困境意义上的“合作”不足以取得成功:相反,合作者必须在嘈杂的环境中精确协调更复杂的行为。我们研究了一个这样的模型,即“ Turu-Taking困境”,这是重复囚徒困境的一种变体,其中最大的总回报不是通过同时相互合作而是通过轮流叛逃(交替的诱惑和傻瓜回报)来实现的。转弯困境更精确地建模了互动,在这种互动中,玩家必须短期亏损才能获得长期收益:以讨价还价和妥协的错综复杂为特征的情况。使用“进化优势”作为绩效的一般衡量标准,我们研究了哪些策略在转弯困境互动中最为成功。我们的实验表明,即使在座席有严格的资源限制(有限的存储策略)的情况下,在嘈杂的环境中也可以实现转向。诸如EXALT_2之类的顶级策略可以有效地协调噪声下的转弯,同时利用合作者并抵抗叛逃者的利用。这些策略可能会在“转身困境”建模的各种现实世界互动中取得成功

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