AI review queue

Review AI-suggested connections

AI proposes; humans decide. These connections were suggested by grounding on the graph — each shares a mental model across disciplines. Nothing here is published: accepting only moves a suggestion into review as “AI-suggested”.

AI suggestions

These are AI suggestions, not established knowledge. They exist to prompt a human reviewer, never to teach learners directly.

Generating grounded suggestions…

Knowledge review

The assignments that most warrant scientific review — flagged or disputed first, then analogies. Ordering follows explainable reasons, not a score.

Human scientific reviews performed: 0. This view prepares review; nothing is marked “reviewed” by code. Nothing here is externally validated.

  1. Natural selection × Optimizationanalogyflagged for review

    Shown first because: explicitly flagged for review; an analogy used across 17 disciplines — a correspondence, not an identity.

    Traits that raise reproductive success are favoured, hill-climbing fitness over generations.

    analogy

    Where it stops: Evolution has no objective function and no optimizer — 'maximises fitness' is a descriptive analogy. Selection is myopic, can be trapped on local peaks, and the fitness landscape itself shifts with the environment.

    Evidence & review

    Mapping status: flagged for review.

    • Evolution (4th ed.)contextual · needs-check · strong evidence
  2. Reinforcement learning × Variation & selectionanalogyflagged for review

    Shown first because: explicitly flagged for review; an analogy used across 14 disciplines — a correspondence, not an identity; no source support yet.

    Reinforces rewarded actions, selecting successful behaviours over time.

    analogy

    Where it stops: RL optimises expected reward for one agent within its lifetime; selection acts across generations with no designer. The shared idea is differential reinforcement, not identity.

    Evidence & review

    Mapping status: flagged for review.

    No source linked yet — this is an editorial interpretation.

  3. Epidemic spread × Diffusion & spreadanalogyflagged for review

    Shown first because: explicitly flagged for review; an analogy used across 14 disciplines — a correspondence, not an identity.

    Infection propagates through a population by contact, like a diffusing quantity.

    analogy

    Where it stops: Diffusion assumes local, gradient-driven spread; real epidemics also jump non-locally through travel and contact networks, which pure diffusion cannot capture.

    Evidence & review

    Mapping status: flagged for review.

    • The Mathematics of Diffusion (2nd ed.)contextual · needs-check · strong evidence
  4. Gradient descent × Variation & selectionanalogyflagged for review

    Shown first because: explicitly flagged for review; an analogy used across 14 disciplines — a correspondence, not an identity.

    Selects parameter updates that reduce error — selection over model weights.

    analogy

    Where it stops: Gradient descent follows an explicit objective's gradient; biological selection has neither an objective nor a gradient. The correspondence is structural (variation + differential retention), not literal.

    Evidence & review

    Mapping status: flagged for review.

    • Deep Learningcontextual · needs-check · moderate evidence
  5. Supply and demand × Equilibriumanalogyauthored editorially (not independently reviewed)

    Shown first because: an analogy used across 15 disciplines — a correspondence, not an identity.

    Surplus pushes price down and shortage pushes it up until the two forces meet.

    analogy

    Where it stops: Market 'equilibrium' assumes many price-taking actors and clears only under those conditions; real markets can persist far from it (sticky prices, power, information gaps).

    Evidence & review

    Mapping status: authored editorially (not independently reviewed).

    • Principles of Economics (8th ed.)demonstrates this case · needs-check · moderate evidence