摘要
与线性因果相比, 非线性因果具有更复杂的特点和内涵. 本文主要讨论非线性因果中的若干个问题, 并着重强调因果域的概念. 本文基于广泛应用的计算模型和方法, 围绕非线性因果分析与计算以及因果域的识别问题提出相应观点和建议, 并通过几个具体案例揭示非线性因果在处理复杂因果推断问题中的重要性和现实意义.
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Aiguo WANG, Li LIU, Jiaoyun YANG, and Lian LI designed the research. Jiaoyun YANG processed the data. Aiguo WANG, Li LIU, Jiaoyun YANG, and Lian LI drafted the paper. Aiguo WANG, Li LIU, and Jiaoyun YANG revised and finalized the paper.
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Aiguo WANG, Li LIU, Jiaoyun YANG, and Lian LI declare that they have no conflict of interest.
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Project supported by the National Major Science and Technology Projects of China (No. 2018AAA0100703), the National Natural Science Foundation of China (No. 61977012), the China Scholarship Council (No. 201906995003), and the Fundamental Research Funds for the Central Universities, China (No. 2021CDJYGRH011)
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Wang, A., Liu, L., Yang, J. et al. Causality fields in nonlinear causal effect analysis. Front Inform Technol Electron Eng 23, 1277–1286 (2022). https://doi.org/10.1631/FITEE.2200165
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DOI: https://doi.org/10.1631/FITEE.2200165