A Method for Micro-Dynamics Analysis Based on Causal Structure of Agent-Based Simulation

Hiroaki Yamada, Shohei Yamane, Kotaro Ohori, Takashi Kato, Shingo Takahashi

研究成果: Conference contribution

抄録

Micro-dynamics analysis plays an important role in decision making in a complex social system. It has been used to analyze how macro-phenomena arise from the viewpoint of individual agent behavior. However, the causes extracted during the analysis often include two types of useless causes: simple causes, which are not useful for decision making regarding new policies, and small causes, which suggest inefficient policies. In this paper, we propose a method to extract causes that include at least one feature from the attribute, perception, and action variables of model parameters and logs. We extracted the causes of the specific congestion and created a policy based on results obtained via a simulation of an airport terminal and showed that the proposed method can eliminate both simple and small causes.

本文言語English
ホスト出版物のタイトルProceedings of the 2020 Winter Simulation Conference, WSC 2020
編集者K.-H. Bae, B. Feng, S. Kim, S. Lazarova-Molnar, Z. Zheng, T. Roeder, R. Thiesing
出版社Institute of Electrical and Electronics Engineers Inc.
ページ313-324
ページ数12
ISBN(電子版)9781728194998
DOI
出版ステータスPublished - 2020 12 14
イベント2020 Winter Simulation Conference, WSC 2020 - Orlando, United States
継続期間: 2020 12 142020 12 18

出版物シリーズ

名前Proceedings - Winter Simulation Conference
2020-December
ISSN(印刷版)0891-7736

Conference

Conference2020 Winter Simulation Conference, WSC 2020
国/地域United States
CityOrlando
Period20/12/1420/12/18

ASJC Scopus subject areas

  • ソフトウェア
  • モデリングとシミュレーション
  • コンピュータ サイエンスの応用

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