Computational Experiments for Complex Social Systems: Experiment Design and Generative Explanation

doi:10.1109/JAS.2024.124221

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	Computational Experiments for Complex Social Systems: Experiment Design and Generative Explanation
	Xiao Xue; Deyu Zhou; Xiangning Yu; Gang Wang; Juanjuan Li; Xia Xie; Lizhen Cui; Fei-Yue Wang
发表期刊	IEEE/CAA Journal of Automatica Sinica
ISSN	2329-9266
	2024
卷号	11 期号:4 页码:1022-1038
通讯作者	Xue, Xiao(jzxuexiao@tju.edu.cn)
摘要	Powered by advanced information technology, more and more complex systems are exhibiting characteristics of the cyber-physical-social systems (CPSS). In this context, computational experiments method has emerged as a novel approach for the design, analysis, management, control, and integration of CPSS, which can realize the causal analysis of complex systems by means of “algorithmization” of “counterfactuals”. However, because CPSS involve human and social factors (e.g., autonomy, initiative, and sociality), it is difficult for traditional design of experiment (DOE) methods to achieve the generative explanation of system emergence. To address this challenge, this paper proposes an integrated approach to the design of computational experiments, incorporating three key modules: 1) Descriptive module: Determining the influencing factors and response variables of the system by means of the modeling of an artificial society; 2) Interpretative module: Selecting factorial experimental design solution to identify the relationship between influencing factors and macro phenomena; 3) Predictive module: Building a meta-model that is equivalent to artificial society to explore its operating laws. Finally, a case study of crowd-sourcing platforms is presented to illustrate the application process and effectiveness of the proposed approach, which can reveal the social impact of algorithmic behavior on “rider race”.
关键词	Agent-based modeling computational experiments cyber-physical-social systems (CPSS) generative deduction generative experiments meta model
DOI	10.1109/JAS.2024.124221
收录类别	SCI
语种	英语
资助项目	National Key Research and Development Program of China
项目资助者	National Key Research and Development Program of China
WOS研究方向	Automation & Control Systems
WOS类目	Automation & Control Systems
WOS记录号	WOS:001188387300003
出版者	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
引用统计	被引频次：1[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.ia.ac.cn/handle/173211/55374
专题	学术期刊_IEEE/CAA Journal of Automatica Sinica
推荐引用方式 GB/T 7714	Xiao Xue,Deyu Zhou,Xiangning Yu,et al. Computational Experiments for Complex Social Systems: Experiment Design and Generative Explanation[J]. IEEE/CAA Journal of Automatica Sinica,2024,11(4):1022-1038.
APA	Xiao Xue.,Deyu Zhou.,Xiangning Yu.,Gang Wang.,Juanjuan Li.,...&Fei-Yue Wang.(2024).Computational Experiments for Complex Social Systems: Experiment Design and Generative Explanation.IEEE/CAA Journal of Automatica Sinica,11(4),1022-1038.
MLA	Xiao Xue,et al."Computational Experiments for Complex Social Systems: Experiment Design and Generative Explanation".IEEE/CAA Journal of Automatica Sinica 11.4(2024):1022-1038.

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