Structure and Variation of Signaling Conventions in Scale-free Networks

The signaling game is a game-theoretical model that can depict the dynamics enabling the emergence of semantic meaning that establishes as convention among members of a society. The signaling game alone describes a communicative situation, but by applying it as a repeated game and combining it with update dynamics, a path of the evolution of semantic meaning can be simulated. In this work I will i) combine the repeated signaling game with the update dynamics innovative reinforcement learning, and ii) conduct it on a society of agents arranged in scale-free networks. The simulation runs show not only that multiple regional conventions emerge and stabilize, but also reveal the way these regions are arranged and interact with each other.