claim

active

claim:spontaneous-ordering-in-networks-of-interacting-systems-can-be-viewed-as-a-form-of-self-organization-modelling-neural-and-basal-forms-of-cognition

Spontaneous ordering in networks of interacting systems can be viewed as a form of self-organization, modelling neural and basal forms of cognition.

Claim linking physical self-organization to cognition

Source paper

extracted_from

Topological constraints on self-organization in locally interacting systems

(2026) · Francesco Sacco · Dalton Sakthivadivel · Michael Levin

Neighborhood — ranked by edge-count

Communities (3)

community

Causal emergence in biological systems
members_of
Examines how macro-scale causal power exceeds micro-scale in living and learning systems.
Hierarchical structure and multiscale coherence in physical systems
members_of
How graph topology and hierarchical interaction patterns enable or prevent phase transitions and ordered states, from statistical mechanics to biological organization.
Hierarchical network ordering & thermodynamics
members_of
Statistical mechanics of clique-structured graphs linking domain walls, free energy, and biological multiscale coherence.

Concepts (1)

concept

Self-Organization
associated_with
Spontaneous emergence of long-range order in networks; modeled as neural and basal cognition.

Related by similarity (8)

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.

Hierarchical structures in biological systems enable local order while globally disordered, explaining complex patterning.claim0.792
Claim that multiscale organisation produces complex patterns via clique-based local coherence
Free-energy scaling under domain-wall formation in Potts, autoregressive, and hierarchical networks shows that combinatorics of interactions on a graph prevent or allow spontaneous ordering.finding0.787
Core result demonstrating topological constraints on self-organization
Self-organisation can be viewed as a form of autopoietic cognition navigating problem spaces toward target morphologies.claim0.782
Linking self-organisation to cognition and navigation of configuration space
Biological self-organization is not as remarkable as one might think—and is (almost) inevitable.claim0.775
Central claim of the paper that life-like behavior emerges necessarily from coupled dynamical systems with Markov blankets.
Organised structure of relationships between parts, sufficient to exhibit information integration and collective action, can be produced via fully-distributed unsupervised learning.claim0.771
Central claim from connectionist models: complex coordination emerges without centralized control or external teacher.
The kind of order that occurs in living structure has a complexity not usually describable by drawings or by architectural images.claim0.766
Emphasizes the non-pictorial, process-dependent nature of living order.
Organismic individuality can be separated from genetics: integration and collective action occur in non-neural systems.finding0.758
Empirical findings from developmental biology (Manicka & Levin, Lyon et al.) supporting mechanistic basis for individuality independent of genetic determination.
Constraints enable emergence of complexity through self-organization in far-from-equilibrium systems.claim0.756