CASIA OpenIR  > 学术期刊  > IEEE/CAA Journal of Automatica Sinica
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
Source PublicationIEEE/CAA Journal of Automatica Sinica
ISSN2329-9266
2024
Volume11Issue:4Pages:1022-1038
AbstractPowered 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”.
KeywordAgent-based modeling computational experiments cyber-physical-social systems (CPSS) generative deduction generative experiments meta model
DOI10.1109/JAS.2024.124221
WOS IDWOS:001188387300003
Citation statistics
Cited Times:1[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/55374
Collection学术期刊_IEEE/CAA Journal of Automatica Sinica
Recommended Citation
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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