Thinking·OS

Graph explorer

Explore the knowledge graph

Analogy depends on Pattern. Activate to inspect this relation.Cycle is a Pattern. Activate to inspect this relation.Generalization is analogous to Analogy. Activate to inspect this relation.Hierarchy is a Pattern. Activate to inspect this relation.Machine learning depends on Pattern. Activate to inspect this relation.Motif emerges from Pattern. Activate to inspect this relation.Musical form emerges from Pattern. Activate to inspect this relation.Musical meter emerges from Pattern. Activate to inspect this relation.Rhythm is a Pattern. Activate to inspect this relation.Sequence is a Pattern. Activate to inspect this relation.Symmetry is a Pattern. Activate to inspect this relation.PatternCycleRhythmSymmetryMachine learningSequenceHierarchyAnalogyMotifMusical formMusical meterGeneralization
Relationship types

17 concepts viewed through this lens. Bridge concepts connect this view to Artificial Intelligence, Bioinformatics, Biology, Cognitive Neuroscience….

Legend
  • Focused concept
  • Connected concept
  • Bridge concept (just outside the lens)
  • Arrow points from cause / source to effect / target
  • A line with no arrow is a two-way relationship
  • Node colour marks the concept’s primary discipline
12 concepts11 relationships28 disciplines4 relation families

At a glance

A regularity that repeats or holds across cases, letting us recognise and predict.

Disciplines
Mathematics · Cognitive Science · Biology · Design · Educational Science · Machine Learning · Education
Role in the graph
Cross-disciplinary bridge — reaches Artificial Intelligence, Bioinformatics, Comparative Literature, Computer Science, Data Structures, Discrete Mathematics, Earth & Space Sciences, Geometry, History, Linguistics, Literature, Molecular Biology, Music, Music Theory, Musicology, Philosophy, Physics, Software Engineering, Statistics, Systems Science, Visual Arts
Relationships
10 · 3 relation families
Mental models
1

What am I looking at?

In this lens (17)

Bridge concepts (19)

Just outside the lens — they connect it to other context.

  • Learner Motivation2
    Education · connects to Learning Outcome, Scaffolding
  • Learning Objective2
    Education · connects to Instructional Design, Learning Outcome
  • Working memory2
    Cognitive Neuroscience, Cognitive Psychology, Psychology · connects to Cognitive Load, Scaffolding
  • Communication1
    Communication Science, Linguistics · connects to Pedagogy
  • Curriculum Design1
    Education · connects to Instructional Design

Insights from this view

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

  • This view connects 28 disciplines: Artificial Intelligence, Bioinformatics, Biology, Cognitive Science, Comparative Literature, Computer Science, Data Structures, Design, Discrete Mathematics, Earth & Space Sciences, Education, Educational Science, Geometry, History, Linguistics, Literature, Machine Learning, Mathematics, Molecular Biology, Music, Music Theory, Musicology, Philosophy, Physics, Software Engineering, Statistics, Systems Science, Visual Arts.
  • Pattern is a bridge concept — viewed here through Biology, Cognitive Science, Design, Education, Educational Science, Machine Learning, Mathematics.
  • The connections here span 4 relation families.
  • Information explains 2 concepts in this view (Artificial Intelligence, Bioinformatics, Computer Science, Data Structures, Discrete Mathematics, History, Machine Learning, Mathematics, Molecular Biology, Statistics).

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.

By discipline

ChemistryBiologyPhysicsMathematicsComputer ScienceGeologyMineralogyEconomics

By thinking pattern

Bayesian updatingCause and effectCompoundingConservationConstraintsDefense in depthDiffusion & spreadEmergenceEnergy transformationEntropy & irreversibilityEquilibriumFeedback loopIncentivesInformationLevels & hierarchyModularityNetworksOptimizationOscillationProbabilityRecursion & self-similarityScaleSignal vs noiseSource–pathway–receptorStocks and flowsSymmetry & invarianceThresholds & tipping pointsTrade-offsTriangulationVariation & selectionWaves

By journey

From a Leaf to the ClimateWhy Music Moves UsHow Machines LearnReasoning about a Leaf and the Climate

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.