Abstract
Agent based artificial society is a new method to analyze and predict complex and emergency events. This artificial tried to use agent based method to build up an artificial campus with agents roles from the bottom up, and to study H1N1 influenza case in it. Firstly, a conceptual architecture of artificial society system was proposed which was divided into three meta models: environment, agent and region models. Secondly, an artificial campus was built up under the background of H1N1 influenza spreading rules, and five kinds of agents in campus were characterized. Finally, the interactions among agent with agent, and agents with environment were analyzed, characterized and modeled, and the social networks were also considered in this model.
Published Version
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call