TitleInfection-Based Norm Emergence in Multi-Agent Complex Networks
Publication TypeConference Paper
Year of Publication2008
AuthorsSalazar-Ramirez N, Rodríguez-Aguilar JA, Arcos JLluis
EditorGhallab C.D.Spyropoulo, Avouris N.
Conference Name18th European Conference on Artificial Intelligence
PublisherIOS Press
Pagination891-892
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.