Agent based modeling for H1N1 influenza in artificial campus

Author

Ge, Yuanzheng ; Duan, Wei ; Qiu, Xiaogang ; Huang, Kedi

Author_Institution

Sch. of Mechatron. & Autom., Nat. Univ. of Defense Technol., Changsha, China

fYear

2011

fDate

8-10 Aug. 2011

Firstpage

464

Lastpage

467

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.

Keywords

artificial intelligence; diseases; epidemics; H1N1 influenza; agent based artificial society; agent based modeling; agent model; artificial campus; artificial society system; complex event prediction; conceptual architecture; emergency events; region model; social networks; Biological system modeling; Buildings; Computational modeling; Diseases; Influenza; Meteorology; Social network services; H1N1; agent; artificial society; campus; social networks;

fLanguage

English

Publisher

ieee

Conference_Titel

Emergency Management and Management Sciences (ICEMMS), 2011 2nd IEEE International Conference on

Conference_Location

Beijing

Print_ISBN

978-1-4244-9665-5

Type

conf

DOI

10.1109/ICEMMS.2011.6015720

Filename

6015720