Epidemie process simulator by multi agent simulation considering urban models

In this paper, we proposed a novel Multi Agent System (MAS) according to SIR model for observing the process of epidemic. SIR model is one of the Mathematical models, whose functions can obtain an approximate solution about infection rates. However, it has difficulty to represent the emergent phenomenon, therefore we used a MAS to solve this problem and created the simulator considering the agent's commuting route and his house. We examined a transition of the percentage of infected agents on several city models with this simulator.