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.
Links:
[1] http://www.iiia.csic.es/en/individual/norman-salazar-ramirez
[2] http://www.iiia.csic.es/en/individual/juan-a-rodriguez-aguilar
[3] http://www.iiia.csic.es/en/individual/josep-lluis-arcos
[4] http://www.iiia.csic.es/en/publications/export/tagged/2945
[5] http://www.iiia.csic.es/en/publications/export/xml/2945
[6] http://www.iiia.csic.es/en/publications/export/bib/2945
[7] http://www.iiia.csic.es/en/project/at
[8] http://www.iiia.csic.es/en/project/iea