Agent-Based Modeling for Influenza H1N1 in an Artificial Classroom

Abstract Agent based computational modeling and simulation can capture human behaviors, emergency events, and complex social networks from the bottom up. The construction of artificial society is system engineering that the bottom simulation platform needs to be designed for multi regions’ experiments and engineering realization. Influenza H1N1 that outbreak in 2009 is modeled and simulated in the platform. Based on statistic cases, an artificial classroom with agent student and agent teacher has been constructed in an artificial campus. The artificial classroom is described from three parts: agent, environment, and emergency model. Role based agent demographic catalog, “time-location-behavior” social behaviors mode, and group based social networks have been characterized and built up. Computational experiments are carried on in the artificial classroom, and results indicate that the spread of influenza H1N1 among high density of population is related to demographic attributes, behaviors, and social networks.

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