G-Emergence

Seth's quantitative emergence measure based on Granger causality.

Neighborhood — ranked by edge-count

thinker

concept

Granger Causality
implements
Predictive causality measure used in G-emergence; not a strict causal measure.

artifact

Yuan 2023 Emergence and Causality in Complex Systems: A Survey
mentions
This review paper surveys quantitative theories of causal emergence and their connections to machine learning.

cosine ≥ 0.65 · no typed edge

Entities in the same semantic neighborhood but without a typed relation to this one — candidates for new edges or unrecognized duplicates.

Emergenceconcept0.806
Creation of qualitatively new properties at higher organizational level; requires non-linear fitness interactions.
Deep Emergenceconcept0.771
The property that through processes we do not understand, we can produce systems with capabilities we did not directly engineer — applies to both biological reproduction and AI
Causal Emergenceconcept0.767
Core concept: degree to which an agent exerts unique predictive power on its future; key to cognition at all scales.
Emergence Of Awarenessconcept0.759
Emergence Of Communicationconcept0.748
Designing for emergencemethod0.727
An AI development approach where no explicit theory of intelligence is implemented, allowing intelligence to emerge.
Awakeningconcept0.725
Buddhist concept formalised as embodied recognition that no finite agent can evidence its separability; equated with pruning sigma via BMR
Classification of Emergence: Nominal, Weak, Strongconcept0.716
Bedau's tripartite classification: nominal (pattern), weak (computationally irreducible), strong (irreducible downward causation).