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.
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/3148
[5] http://www.iiia.csic.es/en/publications/export/xml/3148
[6] http://www.iiia.csic.es/en/publications/export/bib/3148
[7] http://www.iiia.csic.es/en/project/open-knowledge
[8] http://www.iiia.csic.es/en/project/at
[9] http://www.iiia.csic.es/en/project/erep
[10] http://www.iiia.csic.es/en/project/iea