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Updated: Jan 28, 2026

An R-Based Landscape Validation of a Competing Risk Model
Published on: September 16, 2022
A reframed landscape of causal emergence
Olive R Cawiding1,2, Yun Min Song1,2, Jae Kyoung Kim1,2,3
1Biomedical Mathematics Group, Institute for Basic Science, Daejeon 34126, Republic of Korea.
Abstract:
Complex systems can often be analyzed at either the microscale of their individual components or the macroscale of their collective organization, yet it remains debated which level of description offers the most meaningful causal understanding. Hoel's recent study in Patterns addresses this challenge by introducing Causal Emergence 2.0, a novel formalization showing that a system's causal workings are best described by how causal influence is distributed across its hierarchy of scales.
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