College of Electrical and Information Engineering, Hunan University , Changsha 410082 , People's Republic of China.
Proc Biol Sci. 2019 May 15;286(1902):20190690. doi: 10.1098/rspb.2019.0690.
In this paper, a mechanism called proximity inheritance is introduced in the birth-death process of a networked population involving the Prisoner's Dilemma game. Different from the traditional birth-death process, in the proposed model, players are distributed in a spatial space and offspring is distributed in the neighbourhood of its parents. That is, offspring inherits not only the strategy but also the proximity of its parents. In this coevolutionary game model, a cooperative neighbourhood gives more neighbouring cooperative offspring and a defective neighbourhood gives more neighbouring defective offspring, leading to positive feedback among cooperative interactions. It is shown that with the help of proximity inheritance, natural selection will favour cooperation over defection under various conditions, even in the presence of mutation. Furthermore, the coevolutionary dynamics could lead to self-organized substantial network clustering, which promotes an assortment of cooperative interactions. This study provides a new insight into the evolutionary mechanism of cooperation in the absence of social attributions such as reputation and punishment.
本文在涉及囚徒困境博弈的网络种群的生死过程中引入了一种称为邻近继承的机制。与传统的生死过程不同,在提出的模型中,玩家分布在空间中,后代分布在其父母的邻近区域。也就是说,后代不仅继承了策略,还继承了父母的邻近关系。在这个共同进化博弈模型中,合作邻域会给更多的邻近合作后代,缺陷邻域会给更多的邻近缺陷后代,从而在合作相互作用之间产生正反馈。结果表明,借助邻近继承,自然选择将有利于合作而不是背叛,即使在存在突变的情况下也是如此。此外,共同进化动力学可能导致自我组织的大量网络聚类,从而促进各种合作相互作用的组合。这项研究为在缺乏声誉和惩罚等社会归因的情况下合作的进化机制提供了新的见解。