In this article, we show roadmaps of multiagent social simulation to illustrate directions of technological achievements. Compared with physical simulation, social simulation is still in a phase of establishing models of simulations. We focus three issues, 'undetermined model', 'obscure boundary', and 'incomplete data', and consider a way to overcome these issues by using huge computational powers of high-performance computing (HPC). We pick-up three applications, evacuation, road-traffic, and market, and estimate required computational cost for the real applications.
['Itsuki Noda', 'Nobuyasu Ito', 'Kiyoshi Izumi', 'Tomohisa Yamashita', 'Hideki Mizuta', 'Tomio Kamada', 'Yohsuke Murase', 'Sachiko Yoshihama', 'Hiromitsu Hattori']
Roadmap for Multiagent Social Simulation on HPC