In this paper, we explore use of evolutionary game theory (EGT)  to model the dynamics of adaptive opponent strategies for large population of players and strategies. In particular, we explore effects of information propagation through social networks in Evolutionary Games. The key underlying phenomenon that the information diffusion aims to capture is that the experiences of acquaintances can also be leveraged to speed up learning in the agent society. We present experimental results from agent-based simulations that show the impact of information diffusion through social networks on the player strategies of an evolutionary game.
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