Neuruh — Adaptive Intelligence Research Program

Polarity, Emergence, and Adaptive Intelligence, Built Runnable

The formal working theory as instruments: the 19-term primitive ontology explorer, the twelve axioms each paired with its own potential falsifier, the Productive Polarity laboratory (seven variables, one bounded region, no monotonic improvement), the ten-criteria emergence qualification checklist, and the five cross-domain examples with the boundary conditions that keep them honest.

9 pages — read in full19 primitive terms 12 axioms, 12 falsifiers7-variable polarity model 10 emergence criteria5 cross-domain examples with boundary conditions

§3Primitive Ontology — 19 Terms

The theory's working vocabulary. Every term has a working role, not a poetic one. Click a term. Note what is absent: emergence is defined here, but the thread's decision D-002 holds — it is a derived outcome, not a primitive.

Select a term.

§4Axioms A1-A12 — Each With Its Own Falsifier

An axiom that names what would kill it is doing more work than an axiom that cannot lose. Click each axiom for its claim and its potential falsifier.

Select an axiom.

§6Productive Polarity Laboratory

ProductivePolarity = f(Difference, Containment, Stakes, Duration, FeedbackQuality, AdaptationCapacity, RecoveryCapacity). The model predicts an inverted-U or bounded region rather than monotonic improvement: increasing difference initially adds information, but beyond the system's containment and adaptation capacity it becomes noise, threat, or damage. Set the seven variables and find out which region you are in.

§7Emergence Qualification — The Ten Criteria

The monograph's prose qualification list. A candidate capability must satisfy all ten to count as emergence under this theory; the Blueprint later converts this list into a scored protocol with an 18-of-24 gate (blueprint-live-demo.pages.dev). Check what an honest evaluator could actually evidence.

§10Cross-Domain Examples — Mechanism and Boundary

Five examples, each with a mechanism and an "only if" boundary condition. The boundary is the load-bearing part: toggle it off and the example stops evidencing the theory. That is what a boundary condition is for.

§11Proposed Metrics

Eight proposed measurement concepts. Proposed means exactly that: defined here, not yet instrumented anywhere. Click for the definition concept.

Select a metric.

§2 + §8-9Scope, Non-Claims, and the Two Discipline Notes

Non-claims (§2)Applies provisionally to humans, AI systems, organizations, and other bounded adaptive systems. Does not claim consciousness is required. Does not claim all opposition is useful. Does not claim pressure automatically improves systems. Does not claim universal physics or metaphysical purpose. Does not claim novelty until differentiated from existing fields and empirically tested.
Development (§8)The thread replaced age-stage essentialism with domain-specific capability. The same person can be advanced in invention, intermediate in operations, and primitive under threat. Evaluation must therefore specify domain, context, stress level, and temporal horizon.
Retrieval (§9)Retrieve at the lowest-cost representation that preserves task utility, then expand when confidence, novelty, contradiction, or consequence requires more evidence. The Adaptive Intelligence Cycle (§5) is rendered in full in the companion Atlas demo: Observation through Transfer, with emergence outside the loop.