互惠在民族中心主义与合作演变中的意义

R. Feng
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摘要

背景:种族中心主义被定义为个体倾向于以牺牲群体外成员为代价来支持群体内成员。最近的计算机模拟通过在囚徒困境框架中模拟合作和缺陷行为来研究其演变。方法:将互惠引入到种族中心主义的研究中,通过模拟五种新的基因型策略的影响,扩展了哈蒙德和阿克塞尔罗德的基于主体的模型。(1)结果:在稳定状态下,虽然种族中心主义仍然占主导地位,但适度的种族中心主义(群体内合作和群体外互惠)比人道主义更频繁,并且是迄今为止所有互惠策略中适应性最强的。由于这是唯一与内群体成员合作的互惠策略,我们得出结论,适度的种族中心主义是由于内群体合作而成功的,这证实了之前的研究结果。此外,在整个早期和晚期的进化模式中,我们看到适度的种族中心主义受益于种族中心主义和人道主义的特征,这可以解释为什么种族中心主义仍然是总体上的主导策略。结论:当前模型的优势在于它能够抽象地模拟种族中心主义研究中的互惠行为,并且可能比哈蒙德和阿克塞尔罗德最初的基于主体的模型更具外部有效性。(1)然而,该模型没有考虑到在人类决策中发挥作用的其他因素,如社会背景、学习或发展,这些因素可能是未来关于种族中心主义的计算模拟的主题。
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Implications of Reciprocity in the Evolution of Ethnocentrism and Cooperation
Background: Ethnocentrism is defined as an individual’s tendency to favor in-group members at the expense of out-group members. Recent computer simulations have studied its evolution by modelling cooperative and defective behaviours in a Prisoner’s Dilemma framework. Methods: This paper introduces reciprocity to the study of ethnocentrism and extends Hammond and Axelrod’s agent-based model by simulating the effects of five new genotypic strategies. (1) Results: In stable-state outcomes, although ethnocentrism still dominates, moderate ethnocentrism (in-group cooperation and out-group reciprocity) is more frequent than humanitarianism and is by far the most adaptive out of all reciprocal strategies. Because it is the only reciprocal strategy that cooperates with in-group members, we conclude that it is thanks to in-group cooperation that moderate ethnocentrism is successful, which confirms previous research findings. Additionally, throughout early and late evolutionary patterns, we see that moderate ethnocentrism benefits and suffers from the characteristics of both ethnocentrism and humanitarianism, which may explain why ethnocentrism still emerges as the dominant strategy overall. Conclusion: The strengths of the present model lie in its ability to abstractly model reciprocal behaviours in the study of ethnocentrism and may be more externally valid than Hammond and Axelrod’s original agent-based model. (1) However, this model does not take in account other factors that play a role in human decision-making, such as social context, learning, or development, which could be topics of future computational simulations on ethnocentrism.
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