Abstract:

We propose a computational self-adapting mechanism that facilitates agents to distributedly evolve their social behavior to reach the best social conventions. Our approach borrows from the social contagion phenomenon: social conventions are akin to infectious diseases that spread themselves through members of the society. Furthermore, we experimentally show that our mechanism helps a MAS to regulate itself by searching and establishing (better) social conventions on a wide range of interaction topologies and dynamic environments.

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