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

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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)


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.

Original languageEnglish
Title of host publicationProceedings of the 2020 Winter Simulation Conference, WSC 2020
EditorsK.-H. Bae, B. Feng, S. Kim, S. Lazarova-Molnar, Z. Zheng, T. Roeder, R. Thiesing
PublisherInstitute of Electrical and Electronics Engineers Inc.
Number of pages12
ISBN (Electronic)9781728194998
Publication statusPublished - 2020 Dec 14
Event2020 Winter Simulation Conference, WSC 2020 - Orlando, United States
Duration: 2020 Dec 142020 Dec 18

Publication series

NameProceedings - Winter Simulation Conference
ISSN (Print)0891-7736


Conference2020 Winter Simulation Conference, WSC 2020
Country/TerritoryUnited States

ASJC Scopus subject areas

  • Software
  • Modelling and Simulation
  • Computer Science Applications


Dive into the research topics of 'A Method for Micro-Dynamics Analysis Based on Causal Structure of Agent-Based Simulation'. Together they form a unique fingerprint.

Cite this