Distribution of Synthetic Populations of Japan for Social Scientists and Social Simulation Researchers

Tadahiko Murata, Takuya Harada, Manabu Ichika Wa, Yusuke Goto, Lee Hao, Susumu Date, Masaharu Munetomo, Akiyoshi Sugiki

研究成果: Conference contribution

1 被引用数 (Scopus)

抄録

In this paper, we describe how synthesized populations are essential in real-scale social simulations (RSSS), and the current situation of the population synthesis for whole populations in Japan. RSSS is simulations using the real number of populations or households in social simulations. This paper describes how we have completed to synthesize multiple sets of populations based on the statistics of each local government in Japanese national census in 2000,2005,2010 and 2015. We have started to distribute those multiple sets of the synthesized populations for researchers of RSSSs in Japan. In distributing the synthesized populations, we should set some regulations in order to protect personal or private information in the synthesized populations.

本文言語English
ホスト出版物のタイトルProceedings of 2019 International Conference on Machine Learning and Cybernetics, ICMLC 2019
出版社IEEE Computer Society
ISBN(電子版)9781728128160
DOI
出版ステータスPublished - 2019 7
外部発表はい
イベント18th International Conference on Machine Learning and Cybernetics, ICMLC 2019 - Kobe, Japan
継続期間: 2019 7 72019 7 10

出版物シリーズ

名前Proceedings - International Conference on Machine Learning and Cybernetics
2019-July
ISSN(印刷版)2160-133X
ISSN(電子版)2160-1348

Conference

Conference18th International Conference on Machine Learning and Cybernetics, ICMLC 2019
国/地域Japan
CityKobe
Period19/7/719/7/10

ASJC Scopus subject areas

  • 人工知能
  • 計算理論と計算数学
  • コンピュータ ネットワークおよび通信
  • 人間とコンピュータの相互作用

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