A Basic City Simulation Model for Evaluating Social Phenomena
In recent years, researches which use multi agent systems become active, especially in the range of the economic phenomenon, the traffic flow simulation, and the city simulation. The research which targets the human society and social phenomenon increases. In this research, we target the infection which has a possibility to happen in every city. As a preparation for developing the simulation model of the infection, we make a basic city model using SOARS. SOARS is a new type agent based simulation framework <http://www.cs.dis.titech.ac.jp/>. In this simulation model, all agents act their dairy activity according to rules we prepare and have some interactions. From this model, we can know how the infection expands, how many agents are infected and how much infection percentage gives the city a knockdown. In this description, we analyze the expansion of the infection and show the result and the possibility of this simulation model.
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- Hiroshi Deguchi, Hideki Tanuma, Tetsuo Shimizu (2004) SOARS: Spot Oriented Agent Role Simulator — Design and Agent Based Dynamical System. Proceedings of AESCS’04. Kyoto, Japan, pp 49–56Google Scholar
- Manabu Ichikawa, Hideki Tanuma, Yuhsuke Koyama, Hiroshi Deguchi (2004) A Disaster Relief Simulation Model of a Building Fire. Proceedings of AIS2004, Jeju, KoreaGoogle Scholar
- Joshua M Epstein, Robert Axtell (1996) Growing Artificial Societies. Brookings Institution Press MIT PressGoogle Scholar