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Feedback is part of System. Activate to inspect this relation.Emergence emerges from System. Activate to inspect this relation.Self-organization causes Emergence. Activate to inspect this relation.Emergence is part of Complex adaptive system. Activate to inspect this relation.Self-organization is part of Complex adaptive system. Activate to inspect this relation.Feedback Loop enables Self-organization. Activate to inspect this relation.Phase transition is analogous to Emergence. Activate to inspect this relation.Power Law applies to Network topology. Activate to inspect this relation.Network topology constrains Complex adaptive system. Activate to inspect this relation.Agent-based model models Complex adaptive system. Activate to inspect this relation.Agent-based model explains Emergence. Activate to inspect this relation.Social contagion depends on Social network analysis. Activate to inspect this relation.Agent-based model models Social contagion. Activate to inspect this relation.Agent-based model is a Social simulation. Activate to inspect this relation.Digital field experiment measures Social contagion. Activate to inspect this relation.Agent-based modelComplex adaptive systemEmergenceSocial contagionSocial simulationSelf-organizationNetwork topologySystemPhase transitionSocial network analysisDigital field experimentFeedback LoopPower LawFeedback
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  • A line with no arrow is a two-way relationship
  • Node colour marks the concept’s primary discipline
14 concepts15 relationships13 disciplines6 relation families

Agent-based model

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At a glance

An agent-based model simulates a system by explicitly representing the behaviour and interactions of its individual agents.

Disciplines
Complexity Science · Computational Social Science
Role in the graph
Cross-disciplinary bridge reaches Biology, Sociology
Relationships
4 · 2 relation families

Insights from this view

Structural observations about the concepts shown here — descriptions of this graph, not claims about the world.

  • This view connects 13 disciplines: Biology, Complexity Science, Computational Social Science, Cybernetics, Decision Theory, Engineering, Human-Computer Interaction, Mathematical Modelling, Sociology, Statistical Physics, Systems Biology, Systems Engineering, Systems Science.
  • Agent-based model is a bridge concept — viewed here through Complexity Science, Computational Social Science.
  • The connections here span 6 relation families.
  • Emergence explains 2 concepts in this view (Biology, Complexity Science, Engineering, Mathematical Modelling, Sociology, Systems Engineering, Systems Science).

Relationships as a list

The focused concept’s relationships. Pick another concept in the graph above to update this list.

Explore through a different lens

A lens is a deterministic projection of the graph. Pick a discipline, thinking pattern or journey to reframe the whole view.

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Concept collections

Concept collections are curated lenses onto the fabric — themed sets of ideas that recur across disciplines. They are not journeys; they are a way to read the graph.

About this view

What this is

Start from one concept and expand outward. The view never shows everything at once — click a node to refocus, filter by relationship type, or switch to an accessible list.

One fabric

3750 concepts and 5051 typed relations form one connected component — no isolated silo.

How to read it

Focus a concept, or apply a lens (discipline, mental model, journey) to see only the threads that matter.