Multiagent decision making over networks has recently attracted an exponentially growing number of researchers from the systems and control community. The area has gained increasing momentum in engineering, social sciences, economics, urban science, and artificial intelligence as it serves as a prevalent framework for studying large and complex systems and has been widely applied to many problems, such as social networks analysis [1], [2], smart grid management [3], [4], wireless and communication networks [5]–[7], cybersecurity [8]–[10], critical infrastructures [11]–[13], and cyberphysical systems [14]–[16].

中文翻译：

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网络、游戏和学习网络多智能体决策的博弈论框架的融合

网络上的多智能体决策最近吸引了来自系统和控制社区的呈指数级增长的研究人员。该领域在工程、社会科学、经济学、城市科学和人工智能领域获得了越来越大的发展势头，因为它是研究大型复杂系统的流行框架，并已广泛应用于许多问题，例如社会网络分析[1],[2], 智能电网管理[3],[4], 无线和通信网络[5]–[7]， 网络安全[8]–[10], 关键基础设施[11]–[13]和网络物理系统[14]–[16].