Growing artificial societies: social science from the bottom up
Growing artificial societies: social science from the bottom up
Social Order in Multiagent Systems
Social Order in Multiagent Systems
Dynamic social simulation with multi-agents having internal dynamics
JSAI'03/JSAI04 Proceedings of the 2003 and 2004 international conference on New frontiers in artificial intelligence
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In human societies, facts are constructed through social consensus. Here, the formation of social institutions in such a society is studied using a multi-agent-based simulation. Institutions are formed through communications among members, and the effects of errors in communication on the formation of institutions are investigated. Our results show that the institution is established when information suppliers frequently make errors in their information interpretation. We propose here that there is a phase transition in the error rate of the information suppliers in the formation of institutions.