There has been an increase in attention toward systems involving large numbers of small players, giving rise to the theory of mean field games, mean field type control and nonlinear Markov games. Exhibiting various real world problems involving major and minor agents, this book presents a systematic continuous-space approximation approach formean-field interacting agents models andmean-field gamesmodels. After describing Markov-chain methodology and a modeling of mean-field interacting systems, the text presents various structural conditions on the chain to yield respective socio-economic models, focusing on migration models via binary interactions. The specific applications are wide-ranging including inspection and corruption, cyber-security, counterterrorism, coalition building and network growth, minority games, and investment policies and optimal allocation making this book relevant to a wide audience of applied mathematicians interested in operations research, computer science, national security, economics, and finance.

Vassili N. Kolokoltsov is a Professor with the  Department of Statistics,  University of Warwick. During his career he held various research and teaching positions in Russia, Germany, France, Mexico and UK. He received the St. Petersburg University award for "Research Work in 2011" for the bookUnderstanding Game Theory, written jointly with O. A. Malafeyev.