The Confluence of Networks, Games, and Learning a Game-Theoretic Framework for Multiagent Decision Making Over Networks

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] .