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...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.展开更多
基金supported by the National Major Science and Technology Projects of China(No.2018AAA0100703)the National Natural Science Foundation of China(No.61977012)+1 种基金the China Scholarship Council(No.201906995003)the Fundamental Research Funds for the Central Universities,China(No.2021CDJYGRH011)。
文摘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.
