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→Comparison of Several Causal Emergence Theories
|Hoel's causal emergence theory <ref name=":0" />||Dynamic causality, the definition of EI introduces do-intervention||Requires specifying a coarse-graining method||Discrete Markov dynamics||Dynamic causality: effective information
|Hoel's causal emergence theory <ref name=":0" />||Dynamic causality, the definition of EI introduces do-intervention||Requires specifying a coarse-graining method||Discrete Markov dynamics||Dynamic causality: effective information
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|Rosas's causal emergence theory <ref name=":5" />||Approximation by correlation characterized by mutual information||When judged based on synergistic information, no coarse-graining is involved. When calculated based on redundant information, a coarse-graining method needs to be specified.||Arbitrary dynamics||Information decomposition: synergistic information or redundant information
|Rosas's causal emergence theory <ref name=":5" />||Approximation by correlation characterized by mutual information||When judged based on synergistic information, no coarse-graining is involved. When calculated based on unique information, a coarse-graining method needs to be specified.||Arbitrary dynamics||Information decomposition: synergistic information or redundant information
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|Causal emergence theory based on reversibility <ref name=":2"/>||Dynamic causality, EI is equivalent to approximate dynamical reversibility||Does not depend on a specific coarse-graining strategy||Discrete Markov dynamics||Approximate dynamical reversibility: <math>\Gamma_{\alpha}</math>
|Causal emergence theory based on reversibility <ref name=":2"/>||Dynamic causality, EI is equivalent to approximate dynamical reversibility||Does not depend on a specific coarse-graining strategy||Discrete Markov dynamics||Approximate dynamical reversibility: <math>\Gamma_{\alpha}</math>