【2h】

Evolution of extortion in Iterated Prisoner’s Dilemma games

机译:迭代囚徒困境游戏中勒索的演变

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摘要

Iterated games are a fundamental component of economic and evolutionary game theory. They describe situations where two players interact repeatedly and have the ability to use conditional strategies that depend on the outcome of previous interactions, thus allowing for reciprocation. Recently, a new class of strategies has been proposed, so-called “zero-determinant” strategies. These strategies enforce a fixed linear relationship between one’s own payoff and that of the other player. A subset of those strategies allows “extortioners” to ensure that any increase in one player’s own payoff exceeds that of the other player by a fixed percentage. Here, we analyze the evolutionary performance of this new class of strategies. We show that in reasonably large populations, they can act as catalysts for the evolution of cooperation, similar to tit-for-tat, but that they are not the stable outcome of natural selection. In very small populations, however, extortioners hold their ground. Extortion strategies do particularly well in coevolutionary arms races between two distinct populations. Significantly, they benefit the population that evolves at the slower rate, an example of the so-called “Red King” effect. This may affect the evolution of interactions between host species and their endosymbionts.
机译:迭代博弈是经济和进化博弈论的基本组成部分。他们描述了两个参与者反复互动并能够使用取决于先前互动结果的条件策略的情况,从而允许往复。最近,已经提出了一类新的策略,即所谓的“零决定因素”策略。这些策略在一个人的收益与另一个参与者的收益之间建立了固定的线性关系。这些策略的一个子集允许“勒索者”确保一个参与者自己的收益的任何增加都超过另一个参与者的固定百分比。在这里,我们分析了这种新型策略的进化性能。我们表明,在相当大的人口中,它们可以充当合作发展的催化剂,类似于针锋相对,但它们并不是自然选择的稳定结果。然而,在极少数人口中,勒索者坚守阵地。勒索策略在两个不同人群之间的共同进化军备竞赛中表现尤其出色。值得注意的是,它们使以较低速度发展的人口受益,这就是所谓的“红国王”效应的一个例子。这可能会影响宿主物种与其内共生体之间相互作用的演变。

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