Causal emergence is widespread across measures of causation, not just EI.

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• Causal emergence is defined by the difference in the EI values between the macro-level and micro-level.quote0.880
  Core definition from §1.
• Causal emergence provides new perspectives for causal representation learning, interpreting latent variables as emergent causalities.claim0.835
  Cross-fertilization claim made in discussion.
• Causal emergence measured by NIS+ increases with observational noise but decreases with dynamical noise.finding0.822
  Insight that coarse-graining filters external noise but not intrinsic noise.
• Causal Emergenceconcept0.818
  Core concept: degree to which an agent exerts unique predictive power on its future; key to cognition at all scales.
• Is causal emergence ontological or epistemological?question0.808
  Philosophical debate discussed in §5.2.
• Hoel's Causal Emergence Theoryframework0.803
  Quantitative emergence theory based on Markov dynamics and effective information (EI).
• Causal emergence alignment with learning is a shared axis comparing biological and artificial creatures.claim0.803
  Assertion that the correlation between causal emergence and learning constitutes another way biological and artificial intelligences converge.
• Causal emergence can enable causal interventions to create better RL agents.claim0.800
  Assertion that understanding causal emergence may lead to methods for manipulating agent representations to improve performance.