mlsanityData to 14 Oct 2026

On Principles of Emergent Organization

arXiv 2311.13749 ↗First posted 23 Nov 2023cond-mat.stat-mech cs.LG nlin.CDcited by 4

Not on the map. Why?

Abstract (arXiv)

After more than a century of concerted effort, physics still lacks basic principles of spontaneous self-organization. To appreciate why, we first state the problem, outline historical approaches, and survey the present state of the physics of self-organization. This frames the particular challenges arising from mathematical intractability and the resulting need for computational approaches, as well as those arising from a chronic failure to define structure. Then, an overview of two modern mathematical formulations of organization -- intrinsic computation and evolution operators -- lays out a way to overcome these challenges. Together, the vantage point they afford shows how to account for the emergence of structured states via a statistical mechanics of systems arbitrarily far from equilibrium. The result is a constructive path forward to principles of organization that builds on mathematical identification of structure.

Key facts. Cited by 4 papers in the map (data through 14 Oct 2026). Builds on 2 of its 228 references that are in the map. First posted on arXiv 23 Nov 2023.

Builds on

2 of 228 references.

References · 2

  1. 2021Rigorous data-driven computation of spectral properties of Koopman operators for dynamical systemscited by 45
  2. 2019DisCo: Physics-Based Unsupervised Discovery of Coherent Structures in Spatiotemporal Systemscited by 5

Built on by

Cited by year

Citing papers per year: 2024: 2; 2025: 2.

4 papers.