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2022, Volume 23, Issue 8

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Frontiers of Information Technology & Electronic Engineering >> 2022, Volume 23, Issue 8 doi: 10.1631/FITEE.2200165

Causality fields in nonlinear causal effect analysis

Affiliation(s): School of Electronic Information Engineering, Foshan University, Foshan 528225, China; School of Big Data & Software Engineering, Chongqing University, Chongqing 400044, China; School of Computer Science and Information Engineering, Hefei University of Technology, Hefei 230009, China; less

Received: 2022-04-21 Accepted: 2022-08-22 Available online: 2022-08-22
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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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