Publications

Infection-Based Norm Emergence in Multi-Agent Complex Networks

Publication Type:

Conference Paper

Authors:

Norman Salazar-Ramirez; Juan A. Rodríguez-Aguilar; Josep Lluis Arcos

Source:

18th European Conference on Artificial Intelligence, IOS Press, p.891-892 (2008)

Abstract:

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.

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