违反直觉
相互依存的网络
相互依存
人气
计算机科学
进化博弈论
编队网络
复杂网络
互联网
博弈论
不断发展的网络
数据科学
人工智能
管理科学
理论计算机科学
社会学
认识论
数理经济学
经济
万维网
社会科学
政治学
哲学
法学
作者
Zhen Wang,Lin Wang,Attila Szolnoki,Matjaž Perc
标识
DOI:10.1140/epjb/e2015-60270-7
摘要
Networks form the backbone of many complex systems, ranging from the Internet to human societies. Accordingly, not only is the range of our interactions limited and thus best described and modeled by networks, it is also a fact that the networks that are an integral part of such models are often interdependent or even interconnected. Networks of networks or multilayer networks are therefore a more apt description of social systems. This colloquium is devoted to evolutionary games on multilayer networks, and in particular to the evolution of cooperation as one of the main pillars of modern human societies. We first give an overview of the most significant conceptual differences between single-layer and multilayer networks, and we provide basic definitions and a classification of the most commonly used terms. Subsequently, we review fascinating and counterintuitive evolutionary outcomes that emerge due to different types of interdependencies between otherwise independent populations. The focus is on coupling through the utilities of players, through the flow of information, as well as through the popularity of different strategies on different network layers. The colloquium highlights the importance of pattern formation and collective behavior for the promotion of cooperation under adverse conditions, as well as the synergies between network science and evolutionary game theory.
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