Large-scale Agent-based Modeling and Simulation
نویسندگان
چکیده
This research presents a method to build large-scale agent-based modeling and simulation on PC for large-scale social systems with complex social networks. The novelty of this method is reflected in both designing of individual agent and organizing a group of agents for interactions on a large scale. As a case study, we constructed a large-scale artificial city Beijing, on which to test policies for controlling the spread of disease among full population (19.6 million) in Beijing.
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تاریخ انتشار 2014