Causality fields in nonlinear causal effect analysis

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.

Automated summary

This paper discusses certain issues related to nonlinear causality and introduces the concept of causality field as well as analysis methods for nonlinear causality. The importance of nonlinear causality in handling complex causal inference problems is demonstrated through specific examples.