Computational Experiments for Complex Social Systems: Experiment Design and Generative Explanation
文献类型：期刊论文
| 作者 | Xiao Xue; Deyu Zhou; Xiangning Yu; Gang Wang; Juanjuan Li ; Xia Xie; Lizhen Cui; Fei-Yue Wang
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| 刊名 | IEEE/CAA Journal of Automatica Sinica
 |
| 出版日期 | 2024 |
| 卷号 | 11期号:4页码:1022-1038 |
| ISSN号 | 2329-9266 |
| 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 |
| 英文摘要 | 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”. |
| 源URL | [http://ir.ia.ac.cn/handle/173211/55374]  |
| 专题 | 自动化研究所_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. |
入库方式： OAI收割
来源：自动化研究所
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