Title :
Epidemie process simulator by multi agent simulation considering urban models
Author :
Hattori, Yuichi ; Notsu, Akira ; Honda, Katsuhiro
Author_Institution :
Dept. of Comput. Sci. & Intell. Syst., Osaka Prefecture Univ., Sakai, Japan
Abstract :
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.
Keywords :
diseases; medical computing; multi-agent systems; MAS; SIR model; city models; emergent phenomenon; epidemic process simulator; infected agents; infection rates; mathematical models; multi agent simulation; Cities and towns; Computational modeling; Diseases; Educational institutions; Equations; Fatigue; Mathematical model; Infection; Multi agent; Social simulator; city model;
Conference_Titel :
Soft Computing and Intelligent Systems (SCIS), 2014 Joint 7th International Conference on and Advanced Intelligent Systems (ISIS), 15th International Symposium on
DOI :
10.1109/SCIS-ISIS.2014.7044661