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Individual diversity between interdependent networks promotes the evolution of cooperation by means of mixed coupling

机译:相互依赖的网络之间的个体多样性通过混合耦合促进了合作的发展

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摘要

Along with the rapid development of network-based information technology, such as cloud computing, big data, the IoT, and so on, human society has stepped into a new era of complex networks. People’s life and production activities depend more and more on various complex networks to ensure security and reliability. The complex interrelationships between human and nature establish a link to explain the cooperation of individual behaviour, especially for individual diversity. However, existing researches mostly ignore the influence of individual diversity on networks involved in individual behaviour to strategy selection. Therefore, it needs further research on how to consider both individual diversity and independent networks in the evolution of cooperative behaviour. To address this issue, we extend a simple game model into the interdependent networks through the mixed coupling (i.e., utility and probability) in this work. Also, we divide the kinds of strategic behaviour of a player in one layer concerning individual diversity. Moreover, there exists an optimal region of mixed coupling between networks such that cooperation can be promoted. Finally, experimental results can open the path to understanding the emergence and maintenance of cooperation within various interconnected and interrelated real-world systems newly.
机译:随着云计算,大数据,物联网等基于网络的信息技术的飞速发展,人类社会进入了复杂网络的新时代。人们的生活和生产活动越来越依赖各种复杂的网络来确保安全性和可靠性。人与自然之间复杂的相互关系建立了一个链接,以解释个人行为的合作,特别是对于个人多样性的合作。但是,现有的研究大多忽略了个体多样性对个体行为网络对战略选择的影响。因此,需要进一步研究如何在合作行为的演变中同时考虑个体多样性和独立网络。为了解决这个问题,我们通过混合耦合(即效用和概率)将简单的博弈模型扩展到相互依赖的网络中。此外,我们将参与者的战略行为的种类分为与个人多样性有关的一层。而且,在网络之间存在混合耦合的最佳区域,从而可以促进合作。最后,实验结果可以为理解各种相互关联和相互关联的现实世界系统内合作的出现和维持开辟道路。

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