Population games in large-scale networks - Tembine, Hamidou
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Delayed evolutionary game dynamics and mean field limit are very important in large-scale dynamic environment. This manuscript presents dynamic foundations of population games with variable number of players with different types, classes and locations. It covers game dyamics with multicomponent strategies, spatial distribution of the players, constained hybrid dynamics, stochastic population games in wich each generic player has its own state and facing to an evolving vector that captures the propulation profile, differential population games and mean field stochastic games. Convergence and…mehr

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Produktbeschreibung
Delayed evolutionary game dynamics and mean field limit are very important in large-scale dynamic environment. This manuscript presents dynamic foundations of population games with variable number of players with different types, classes and locations. It covers game dyamics with multicomponent strategies, spatial distribution of the players, constained hybrid dynamics, stochastic population games in wich each generic player has its own state and facing to an evolving vector that captures the propulation profile, differential population games and mean field stochastic games. Convergence and stability of different solution concepts as well as the effect of time delays are examined in various mean field game dynamics with migration. Application to transport protocol, access control, battery state- dependent energy management and dynamic resource allocation problems in both wired and wireless networks are presented.
Autorenporträt
Hamidou Tembine received Master degrees in applied mathematics from Ecole Polytechnique and from University Joseph Fourier, France. He received the PhD degree in Computer Science from University of Avignon. His main research interests are evolutionary games, differential population games, mean field stochastic games and their applications.