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Frontiers of Information Technology & Electronic Engineering
ISSN 2095-9184 (print), ISSN 2095-9230 (online)
2022 Vol.23 No.8 P.1277-1286
Causality fields in nonlinear causal effect analysis
Abstract: Compared with linear causality, nonlinear causality has more complex characteristics and content. In this paper, we discuss certain issues related to nonlinear causality with an emphasis on the concept of causality field. Based on widely used computation models and methods, we present some viewpoints and opinions on the analysis and computation of nonlinear causality and the identification problem of causality fields. We also reveal the importance and practical significance of nonlinear causality in handling complex causal inference problems via several specific examples.
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1佛山科学技术学院电子信息工程学院，中国佛山市，528225
2重庆大学大数据与软件学院，中国重庆市，400044
3合肥工业大学计算机与信息学院，中国合肥市，230009
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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Open peer comments: Debate/Discuss/Question/Opinion
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DOI:
10.1631/FITEE.2200165
CLC number:
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On-line Access:
2022-08-22
Received:
2022-04-21
Revision Accepted:
2022-05-05
Crosschecked:
2022-08-29