Infection-Based Norm Emergence in Multi-Agent Complex Networks

We propose a computational model that facilitates agents in a MAS to collaboratively evolve their norms to reach the best norm conventions. Our approach borrows from the social contagion phenomenon to exploit the notion of positive infection: agents with good behaviors become infectious to spread their norms in the agent society. By combining infection and innovation, our computational model helps a MAS establish better norm conventions even when a sub-optimal one has fully settled in the population.

• Type: Conference
• Year: 2008
• Where: ECAI
• Authors: Norman Salazar, Juan A. Rodríguez-Aguilar, Josep Lluís Arcos
• Keywords: Artificial Intelligence, Computational Model, ECAI 2008, Norm Conventions, Social Contagion Phenomenon