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Coevolutionary dynamics of networks and games under birth-death and birth mechanisms

机译:出生死亡和出生机制下网络和游戏的协同进化动力学

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There is much interest in studying evolutionary games in structured populations, in order to understand how cooperation emerges in communities of egoistic agents. In this paper, we consider a new mechanism for cooperation to survive on networks. Agents are designed to reproduce offspring in proportion to their fitness, i.e., the aggregate payoffs they collected in the previous Prisoner's Dilemma game with neighbours. The population then evolves either by an individual giving birth to an offspring that takes over a random neighbour (birth-death process dynamics as the competition for resources already occupied by others) or by an individual constructing one new site from unexploited resources for its offspring (birth process dynamics as the competition for the unexploited resources which induces the extension of system). The underlying interaction network thus evolves and expands simultaneously with the population dynamics. The birth process dynamics is proved to be one new route that favours cooperators, under which cooperators can successfully resist the invasion of defectors in spite of large cost. Furthermore, under this "birth-death & birth" mechanism, the resulting network has a scale-free degree distribution, a small-world property, and hierarchical topology.
机译:为了了解在利己主义者的社区中合作是如何出现的,对有组织的人口中的进化博弈进行研究的兴趣很大。在本文中,我们考虑了一种在网络上生存的合作新机制。特工的设计是根据其适应度(即他们在先前与邻居的囚徒困境游戏中收集的总收益)按比例繁殖后代。然后,种群的进化是通过一个个体生下一个随机邻居的后代(出生过程动态变化,即竞争他人已经占有的资源),或者是一个个体利用未开发的资源为其后代建造一个新的地点(出生过程动力学,作为对未开发资源的竞争,这导致了系统的扩展。因此,潜在的交互网络与人口动态同时发展和扩展。事实证明,生育过程动力学是一种有利于合作者的新途径,在这种途径下,尽管付出了高昂的代价,合作者仍可以成功抵制叛逃者的入侵。此外,在这种“出生,死亡和出生”机制下,所得网络具有无标度分布,小世界属性和分层拓扑。

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