Agent-Based Real-Scale Social Simulation Using Synthetic Population

Tadahiko Murata

President of Japanese Society for Evolutionary Computation,
Associate Vice President on Cybernetics of IEEE Systems, Man, and Cybernetics Society
Professor, Department of Informatics, Kansai University, Japan


In this talk, several examples are shown in agent-based real-scale social simulations using synthetic populations. When developing an agent-based social simulation for a real community, we need detail compositions of the real population in that community. In these years, whole Japanese populations are synthesized using supercomputers in Japan. Synthetic population includes compositions of each household. The synthetic populations are synthesized based on the national census in 2000, 2005, 2010 and 2015. The synthesized method employs a simulated annealing method to minimize the difference between available public statistics and statistics based on the synthesized population for each community. We have prepared 100 sets of synthesized populations for each census. Researchers can employ all the 100 sets when they employ their simulation tool with the synthesized population. In this talk, the way how to synthesize the populations using the national census is explained, and the rules for distributing the synthesized populations for researchers is shown. We also explain how we can utilize the population in simulating in some area of real-scale social simulations. In 2020, we utilized the synthetic populations to see the effectiveness of counter measures against COVID-19 spreading. We show several examples of agent-based real-scale social simulations.


Dr Tadahiko Murata received his Ph. D in 1997 from Osaka Prefecture University, Japan. He is now a Full Professor of the Faculty of Informatics, Kansai University. He directed Policy Grid Computing Laboratory, Kansai University funded by Japanese Government from 2005 to 2010. He was an Associate Editor of several IEEE Transactions, and a Senior Editor of Review of Socionetwork Strategies published from Springer. He is currently a Board of Governor Member of IEEE SMCS since 2015. Currently He is a President of Japanese Society for Evolutionary Computation, and an Associate Vice President on Cybernetics of IEEE Systems, Man, and Cybernetics Society. He received the Best Presentation Award in 1997 and 2005 from Institute of Systems, Control and Information Engineers, the Best Presentation Award in 2009 in the International Workshop on Awareness Computing, the Most Active Technical Committee Award in 2006, 2013, and 2017 from IEEE SMC Society, the Best Paper Award from Society of Instrument and Control Engineers in 2019, Meritorious Service Award from IEEE SMC Society.