NIS+ captures emergent static/dynamic patterns such as 'gliders' in Conway's Game of Life within the latent space.

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

• NIS+ learns macro-dynamics matching ground-truth SIR dynamics from noisy micro-level data.finding0.797
  Experimental result from Yang et al. (2023) reported in the survey.
• Causal emergence measured by NIS+ increases with observational noise but decreases with dynamical noise.finding0.774
  Insight that coarse-graining filters external noise but not intrinsic noise.
• In AOMIC ID1000 movie-watching fMRI data, NIS+ finds a one-dimensional macro-state representing 100-dimensional micro-states.finding0.770
  Real brain imaging result suggesting a compressed emergent representation.
• NIS+ automatically discovers two-group macro-states in Boid model simulations matching the two boid groups.finding0.758
  Yang et al. (2023) experiment on emergent herding behavior.
• NIS+ outperforms NIS, variational autoencoders, and feed-forward neural networks in out-of-distribution generalization experiments.finding0.757
  Yang et al. (2023) result linking EI maximization to robust generalization.
• We hypothesize that a similar 'brutal' and purely geometric process always occurs somewhere in other kinds of unfolding that generate living order — in poetry, dance, social structure, planning, and family relationships.hypothesis0.753
  Extends the brutal geometry thesis beyond architecture into all creative and social domains; acknowledged as not yet confirmed with certainty
• Turing's morphogenesis dynamics, D'Arcy Thompson's physical constraints, and Waddington's epigenetic landscape all describe the same phenomenon in different substrates as Alexander and Levin.claim0.751
• Even with non-linear dynamics and complexity theory, the specific appearance of the fifteen properties and emergence of living centers in the world remains largely unexplained.claim0.749
  Alexander's critical assessment of the limits of current complexity science relative to his explanatory target