Simulating the Emergence of Complex Cultural Beliefs
This paper describes the architecture of a multiagent society designed to model the dynamics of cultural knowledge. It argues that knowledge-rich agent-based social simulations are needed to understand and model the cultural dynamics of natural and artificial societies. The methodology is illustrated with the help of the Multiagent Wumpus World (MWW) testbed in which agents (1) have a causal model of the environment, (2) are goal-directed, and (3) can communicate and share information. We also present results of experiments conducted using a version of MWW. One results is the emergence of the Pareto 80/20 principle in which the 20% most communicative agents account for 80% of all communications.
KeywordsCausal Model Cultural Knowledge World Model Cultural Dynamic Shared Belief
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