A Method for Micro-Dynamics Analysis Based on Causal Structure of Agent-Based Simulation
A Method for Micro-Dynamics Analysis Based on Causal Structure of Agent-Based Simulation
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基于Agent仿真因果结构的微观动力学分析方法
DOI：
10.1109/wsc48552.2020.9384118
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发表时间：
2020
期刊：
影响因子：
--
通讯作者：
Shingo Takahashi
中科院分区：
文献类型：
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作者：
Hiroaki Yamada;S. Yamane;Kotaro Ohori;Takashi Kato;Shingo Takahashi
微观动力学分析在复杂社会系统的决策中起着重要的作用。它被用来分析宏观现象是如何从个体代理行为的角度产生的。然而，在分析过程中提取的原因往往包括两种类型的无用原因：简单的原因，这是没有用的决策有关的新政策，和小的原因，这表明效率低下的政策。在本文中，我们提出了一种方法来提取的原因，包括至少一个功能的“属性”，“感知”和“行动”变量的模型参数和日志。我们提取的具体拥堵的原因，并创建了一个政策的基础上，通过模拟的机场航站楼，并表明，所提出的方法可以消除简单和小的原因。
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.
可能结果的景观分析
DOI：
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发表时间：
2011
期刊：
Agent-Based Approaches in Economic and Social Complex Systems VI : Post-Proceedings of The AESCS International Workshop 2009, Springer Series on Agent-Based Social Systems (S. H. Chen, T. Terano, and R. Yamamoto (Eds.))
影响因子：
--
作者：
Umemuro;H.;中田智康;Y. Goto and S. Takahashi
通讯作者：
Y. Goto and S. Takahashi
基于代理的社会模拟标准化问题的市场设计
影响因子：
1.8
作者：
K.Ohori;S.Takahashi
通讯作者：
S.Takahashi