National Sun Yat-sen University, Institute of Economics, Kaohsiung, 80424, Taiwan.
Wuhan University, Dong Fureng School of Economic and Social Development, Beijing, 100010, China.
Sci Rep. 2016 Aug 26;6:32483. doi: 10.1038/srep32483.
How Darwinian evolution would produce creatures with the proclivity of Darwinian generosity, most of them voluntarily giving up the immediate benefit for themselves or their genes, remains a puzzle. This study targets a problem, the origin of human sense of fairness, and uses fairness-related genes and the social manipulation of Darwinian generosity as the key variables underlying the human sense of fairness, inequity aversion, as well as their relationships within cooperation, and the anticipation foresight of the way relationships are affected by resource division, given the assumption of randomly matched partners. Here we suggest a model in which phenotype will gradually converge towards the perfect sense of fairness along with the prospect of cooperation. Later, the sense of fairness will decrease but it is never extinct. Where social manipulation of Darwinian generosity overshadows genetics, the sense of fairness could be acute to the degree of social manipulation. Above all, there still exists a threshold in the degree of social manipulation, beyond which altruism dominates selfishness in human cooperation. Finally, we propose three new directions toward more realistic scenarios stimulated by recent development of the synergy between statistical physics, network science and evolutionary game theory.
达尔文进化论如何产生具有达尔文慷慨倾向的生物,使它们中的大多数自愿放弃自身或其基因的即时利益,仍然是一个谜。本研究针对的是一个问题,即人类公平感的起源,它使用与公平相关的基因和达尔文慷慨的社会操纵作为公平感、不公平厌恶以及它们在合作中的关系的关键变量,以及在假定随机匹配的合作伙伴的情况下,资源分配对关系的影响的预期预测。在这里,我们提出了一个模型,其中表型将随着合作的前景逐渐趋向于完美的公平感。之后,公平感会下降,但永远不会消失。在达尔文慷慨的社会操纵超过遗传的地方,公平感可能会被社会操纵的程度所尖锐化。最重要的是,在社会操纵的程度上仍然存在一个阈值,超过这个阈值,利他主义在人类合作中就会超过自私自利。最后,我们提出了三个新的方向,这些方向受到统计物理、网络科学和进化博弈论之间协同作用的最新发展的刺激,更加符合现实场景。