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ASSORTMENT AND THE EVOLUTION OF GENERALIZED RECIPROCITY

机译:归类和广义对等的演变

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Reciprocity is often invoked to explain cooperation. Reciprocity is cognitively demanding, and both direct and indirect reciprocity require that individuals store information about the propensity of their partners to cooperate. By contrast, generalized reciprocity,wherein individuals help on the condition that they received help previously, only relies on whether an individual received help in a previous encounter. Such anonymous information makes generalized reciprocity hard to evolve in a well-mixed population, as the strategy will lose out to pure defectors. Here we analyze a model for the evolution of generalized reciprocity, incorporating assortment of encounters, to investigate the conditions under which it will evolve. We show that, in a well-mixed population,generalized reciprocity cannot evolve. However, incorporating assortment of encounters can favor the evolution of generalized reciprocity in which indiscriminate cooperation and defection are both unstable. We show that generalized reciprocity can evolve under both the prisoners dilemma and the snowdrift game.
机译:经常以互惠来解释合作。互惠在认知上是苛刻的要求,直接和间接互惠都要求个人存储有关其伴侣合作倾向的信息。相比之下,广义互惠,即个人在先前获得帮助的条件下提供帮助,仅取决于个人在先前的遭遇中是否获得过帮助。这样的匿名信息使得在广泛混合的人群中通用互惠很难发展,因为该策略将输给纯粹的叛逃者。在这里,我们分析了广义互惠的演化模型,并结合了各种遭遇,以研究其演化的条件。我们表明,在一个高度混合的人群中,普遍的互惠性无法进化。但是,将各种相遇相结合可以促进普遍互惠的发展,在这种互惠中合作和叛变都是不稳定的。我们表明,普遍的互惠可以在囚徒困境和随风飘扬的博弈下发展。

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