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Research draft

complexity

vr.tr.complexity · XCT.QLT

Let an agent explain complexity as a quality and field of study, relay concepts and measures from complex systems and philosophy of science sources with attribution, describe the phenomena the registry aliases name, and distinguish complexity from complication, randomness, computational complexity and the misfiled divergence.

Thing Registry Cross-cutting context

Research draft, second pass

A second pass drafted this model: the structure a model of this thing needs, and what is known about it in the world. The line under this one says how the second half was obtained - researched against sources, or recalled without web access, in which case nothing here was read anywhere and every claim is a lead to verify. Unreviewed either way.

written by Claude from model knowledge without web access - no source was read, every claim is a lead to verify

Researched by: Claude

Purpose and description

Let an agent explain complexity as a quality and field of study, relay concepts and measures from complex systems and philosophy of science sources with attribution, describe the phenomena the registry aliases name, and distinguish complexity from complication, randomness, computational complexity and the misfiled divergence.

The quality of a system with many interacting parts whose collective behaviour is hard to predict from the parts alone, studied in complex systems science through concepts such as emergence, self-organisation or auto-organisation, nonlinearity and adaptation, with examples in physics, biology, ecology, economics and materials including molecular and intermolecular self-assembly and disordered hyperuniform structures; the registry alias divergence names a separate mathematical concept and appears misfiled, and complexity also has specific technical meanings in computation.

What it is for: Not applicable; a quality of systems.

It can be explain concepts; relay measures and debates; describe named phenomena; distinguish related senses.

Distinguishing features

Emergence

Nonlinearity

Multiple measures

Cross-disciplinary

What it looks like

Not a visible object; a property of systems.

Physical character

Santa Fe Institute founded: 1984 year

hyperuniformity concept: 2003 year - Torquato and Stillinger

Kolmogorov complexity: 1960s note - algorithmic measure

How it is recognised

Many-part interaction producing hard-to-predict behaviour

Self-organisation, self-assembly, molecular and intermolecular self-assembly, disordered hyperuniformity; divergence as misfiled

Complication is many parts without emergence; randomness lacks structure; computational complexity measures algorithmic resources; divergence is mathematical

Related models

is a kind of - in registry terms

quality

is studied by -

complex systems

includes -

self-organization

is distinct from - a misfiled alias

divergence

In practice

Families and kinds

emergence and self-organisation

self-assembly in chemistry and materials

complex adaptive systems

network complexity

measures such as algorithmic and statistical complexity

exotic structures such as disordered hyperuniformity

Standards and regulation

No regulation

Failure modes and hazards

Buzzword use without substance

Confusing complexity senses

Registry alias divergence misfiled

Also called

auto-organisationDisordered Hyperuniformitydivergenceself-assemblymolecular self-assemblyintermolecular self-assemblyproject complexityecological complexitymodel complexityorganised complexitymolecular complexitybiological complexityKolmogorov complexitycognitive complexitySocial complexity

Where this came from

wikidata · CC0 1.0

Also registered as vr.tr.complexity

Drafted structure

Bundle to layer to finding to question, as the second pass will find it: 4 bundles · 8 layers · 8 findings · 16 questions.

Understand What complexity is.

Attribution.

Definition

Definition.

Definition

Definition.

  1. What is complexity, and how does it differ from complication, randomness, computational complexity and divergence? definition
  2. Is the question about systems science, a phenomenon, a measure or a misfiled alias? boundary

Phenomena

Named phenomena.

Phenomena

Phenomena.

  1. What are self-organisation, self-assembly and disordered hyperuniformity? definition
  2. Which entry fits the specific phenomenon? action
Science Complex systems science.

Attribution.

Concepts

Concepts.

Concepts

Concepts.

  1. How do emergence, feedback and adaptation create complex behaviour? provenance
  2. Which references are standard? provenance

Measures

Measures.

Measures

Measures.

  1. How is complexity measured, and why is there no single definition, with positions attributed? provenance
  2. Which sources are cited? provenance
Applications Applications.

Application.

Materials

Materials and chemistry.

Materials

Materials.

  1. How does molecular self-assembly build complex structures? provenance
  2. Which entry fits molecular self-assembly? action

Social

Social and economic systems.

Social

Social.

  1. How are complexity ideas applied to economies and societies, with critiques attributed? provenance
  2. Is the presentation attributed? boundary
Context Other senses.

Context.

Computation

Computational complexity.

Computation

Computation.

  1. What is computational complexity, and where is it covered? provenance
  2. Which entry fits computational complexity theory? action

Divergence

Divergence.

Divergence

Divergence.

  1. What is divergence in mathematics, and why is it not complexity? provenance
  2. Which entry fits divergence? action

What the second pass must settle

  • Should self-assembly and hyperuniformity be separate primary entries?
  • How should complex systems sources be linked?
  • The registry alias divergence names a different concept and should be detached