Modified SA-based household reconstruction from statistics for agent-based social simulations

Tadahiko Murata, Takuya Harada, Daiki Masui

研究成果: Conference contribution

4 被引用数 (Scopus)

抄録

In this paper, we modify a household reconstruction method using simulated annealing (SA) for micro-simulations (MS) or agent-based simulations (ABS). MS and ABS are recently employed for social simulations. For enabling MS or ABS, each household composition such as ages, occupations, or other properties of each member of a household should be prepared before simulations. However real household compositions are not available to researchers due to privacy or security reasons. Therefore, we need to reconstruct household compositions from available statistics for MS or ABS. However, it should be noted that the reconstructed population is just an artificial population that is suitable to the employed statistics. That means, the generated population cannot always be a real population that gives the statistics. We modify the SA-based household reconstruction method in three points: a generation procedure of initial solution, a transition procedure in SA, and an evaluation procedure using more statistics. Through simulation results, we show how errors between the artificial population and real statistics are reduced by the proposed modifications.

本文言語English
ホスト出版物のタイトル2016 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2016 - Conference Proceedings
出版社Institute of Electrical and Electronics Engineers Inc.
ページ3600-3605
ページ数6
ISBN(電子版)9781509018970
DOI
出版ステータスPublished - 2017 2月 6
外部発表はい
イベント2016 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2016 - Budapest, Hungary
継続期間: 2016 10月 92016 10月 12

出版物シリーズ

名前2016 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2016 - Conference Proceedings

Other

Other2016 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2016
国/地域Hungary
CityBudapest
Period16/10/916/10/12

ASJC Scopus subject areas

  • コンピュータ ビジョンおよびパターン認識
  • 人工知能
  • 制御と最適化
  • 人間とコンピュータの相互作用

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