Decomposing causality into its synergistic, unique, and redundant components

Causality lies at the heart of scientific inquiry, serving as the fundamental basis for understanding interactions among variables in physical systems. Despite its central role, current methods for causal inference face significant challenges due to nonlinear dependencies, stochastic interactions, s...

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Bibliographic Details
Published in:	Nature communications Vol. 15; no. 1; pp. 9296 - 15
Main Authors:	Martínez-Sánchez, Álvaro, Arranz, Gonzalo, Lozano-Durán, Adrián
Format:	Journal Article
Language:	English
Published:	London Nature Publishing Group UK 01.11.2024 Nature Publishing Group Springer Science and Business Media LLC Nature Portfolio
Subjects:	631/553/2393 631/553/2701 639/705/1041 639/766/189 639/766/259 applied mathematics Causality Complex systems Decomposition dynamical systems fluid dynamics Humanities and Social Sciences Inference information theory and computation multidisciplinary Nonlinear systems Redundant components Science Science (multidisciplinary) time series
ISSN:	2041-1723, 2041-1723
Online Access:	Get full text
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