Cognitive Substrate: Canonical Domain Analysis

Status: Canonical reference. Full 12-step analysis of the cognitive information substrate — the information-processing system that runs on neural hardware and produces cognitive architecture as its functional surface. Domain kind (R1): Information substrate domain. The cognitive substrate's primitives are discovered by evolution (not designed), making this a naturally validated domain like biology. The primitives were identified through cognitive science and comparative psychology, then stress-tested against the reduction criteria. Builds on: v1_revision/v1_biology_domain_analysis/bio_v2/exploration-cognitive-substrate-and-culture.md (primitive extraction, partial levels, dependencies, pairs, core triad, filter), v1_revision/v1_biology_domain_analysis/bio_v2/exploration-cognitive-information-system-full-analysis.md (stress test, cultural ecosystem, feedback loops), analysis-neural-hardware.md (realization layer below), analysis-neural-to-cognitive-bridge.md (bridge from neural hardware) Parallel to: v1_revision/v1_biology_domain_analysis/bio_v1/biology-domain.md (biology substrate — 6 primitives), entity_domain_analysis/analysis-entity-system-substrate.md (entity system substrate — 6 primitives)


Step 1 — Information Gathering

1.1 What is being analyzed

The information-processing system that emerges from neural hardware at sufficient complexity (Full ND in organism architecture) and produces cognitive architecture as its functional surface. Not the neural hardware itself (that's the realization layer: {Nr,Sy,Og,Ol,Mb,Td}), not what minds DO (that's cognitive architecture: {Kw,Sk,Dc,Pl,Co,Jd,Cr,Si,Id}), but the INFORMATION-PROCESSING OPERATIONS that constitute cognition at the substrate level.

This is the same level of analysis as:

1.2 Relevant literature

1.3 The cognitive substrate vs the evaluator question

In the SSA, the evaluator (Vr) is the mechanism that translates encoding into function. For cognition, the evaluator is Symbolization (Sy) — the arbitrary sign-meaning mapping that translates internal representations into communicable, combinable tokens.

Sy has a SPLIT evaluator character:

This split is the defining structural feature of cognition as an information substrate. Biology (R=ribosome, Kd4) and entity system (X=dispatch, Kd4) have unified deterministic evaluators. Cognition has a split evaluator — deterministic for formal content, variable for natural language.


Step 2 — Landscape Analysis

2.1 Cognitive substrates across the animal kingdom

The cognitive substrate is not binary (present/absent) — it exists at different partial levels across species. The landscape spans from minimal representation (insects) to full symbolic cognition (humans).

OrganismRpCtAsSqSyEvKey cognitive capability
C. elegans0-10-11101Chemotaxis, habituation — minimal
Honeybee1-21-221-201Navigation, dance communication (iconic, not symbolic), associative learning
Octopus2-322-3202Problem-solving, observational learning, play — convergent intelligence
Pigeon22-3220-12Abstract categorization (Herrnstein — can categorize paintings by artist), timing
Rat2-322-32-302-3Spatial navigation (cognitive maps), planning (Crystal 2013), empathy-like behavior
Dog222-321-22-3Social cognition, understanding human pointing, word learning (~200 words, border collies)
Crow/raven333313Tool manufacture, future planning (4+ steps), causal reasoning, mirror self-recognition (magpie)
Elephant32-332-313Self-recognition, mourning, cooperative problem-solving, long-term memory
Dolphin333323Self-recognition, understanding symbolic gestures, cooperative hunting, cultural transmission
Chimpanzee3-43332-33-4Tool use/manufacture, cultural traditions, deception, some symbolic learning (trained: Washoe, Kanzi)
Human child (3yr)33333-43Vocabulary explosion, theory of mind emerging, pretend play, narrative
Human adultFullFullFullFullFullFullRecursive language, science, mathematics, philosophy, artistic creation

2.2 What the landscape reveals

Rp (Representation) is the most broadly distributed — even C. elegans has minimal internal models. It develops first and most universally.

Sy (Symbolization) is the most restricted — Full Sy appears only in humans. Even trained apes reach Sy3 at best (arbitrary symbols but not recursive grammar). This is the rarest cognitive capability, consistent with the composite gate analysis from the neural-to-cognitive bridge.

The Ct3 threshold (abstract categories) is a major divide — below it: concrete, stimulus-bound cognition. Above it: abstract reasoning. Corvids and great apes cross this threshold; most other species don't.

Ev develops in parallel with social complexity — social species (primates, corvids, elephants, dolphins) consistently show higher Ev than solitary species of similar brain size. Social evaluation drives Ev development.

2.3 Attractor positions

Attractor 1: Concrete associative cognition (Rp2, Ct2, As2, Sq2, Sy0, Ev2)

Attractor 2: Abstract social cognition (Rp3, Ct3, As3, Sq3, Sy1, Ev3)

Attractor 3: Full symbolic cognition (Full all)


Step 3/3b — Primitives and Partial Levels

Six primitives (stress-tested and confirmed in v1)

3.1 Representation (Rp)

Definition: Internal models of states — perceptual images, spatial maps, object models, episodic memories, imagined scenarios, counterfactual states. The capacity to maintain internal state that corresponds to (or could correspond to) external or internal reality.

LevelDescriptionExample organisms
Rp0No internal representation — pure stimulus-responseSimple reflexes, tropisms
Rp1Sensory images — short-term perceptual representationsInsects, simple fish
Rp2Object representations — persistent models of things that exist when not perceivedCorvids, mammals (object permanence)
Rp3Relational representations — models of relationships between objects, spatial mapsRats (cognitive maps), primates, corvids
Rp4Abstract representations — models of categories independent of specific instancesPrimates, cetaceans
Full RpHypothetical representations — models of things that DON'T exist (counterfactuals, fictions, possibilities)Humans

Phase transition: Rp2→Rp3. Relational thought. Below: represent objects individually. Above: represent RELATIONSHIPS between objects. This is where internal models become STRUCTURED — a spatial map, a causal model, a social hierarchy. Neural correlate: hippocampal place cells (spatial) and prefrontal relational coding.

3.2 Categorization (Ct)

Definition: Grouping representations into types — recognizing instances as members of categories. Adding STRUCTURE to the representational space.

LevelDescriptionExample organisms
Ct0No categorization — each stimulus uniqueMinimal nervous systems
Ct1Perceptual categories — group by sensory similarityMost animals (color, shape, sound)
Ct2Functional categories — group by use/behavior ("food," "predator," "mate")Many vertebrates
Ct3Abstract categories — group by non-perceptual properties ("same," "different," "more than")Primates, corvids, parrots
Ct4Hierarchical categories — categories within categories (poodle → dog → animal)Humans, possibly great apes
Full CtRecursive categories — categories about categories (meta-categories, type systems, formal taxonomies)Humans

Phase transition: Ct2→Ct3. Abstraction. Below: categories defined by perceivable features. Above: categories defined by ABSTRACT RELATIONS that can't be pointed to. The threshold for abstract thought.

3.3 Association (As)

Definition: Connecting representations and categories by relations — similarity, contiguity, causation, analogy. Building NETWORK STRUCTURE in the cognitive space.

LevelDescriptionExample organisms
As0No learned associationsNo conditioning possible
As1Classical conditioning — co-occurring stimuli linkedMost vertebrates, some invertebrates
As2Causal association — represent cause-effect beyond co-occurrenceMany mammals, corvids
As3Analogical association — map structure across domains ("this is LIKE that")Great apes, possibly corvids
As4Network association — rich cross-linked semantic networksHumans, possibly dolphins
Full AsSystematic association — formal systems (logic, mathematics, scientific theories)Humans

Phase transition: As2→As3. Analogy. Below: associations connect specific items (THIS causes THAT). Above: associations map STRUCTURAL RELATIONS across domains. Analogy is the cognitive basis for metaphor, theory-building, and cross-domain transfer.

3.4 Sequence (Sq)

Definition: Temporal ordering of representations — placing events, actions, representations in time order. Narrative, planning, procedure.

LevelDescriptionExample organisms
Sq0No sequencing — simultaneous processing onlyMinimal cognition
Sq1Reactive sequences — stimulus→response chains, fixed action patternsInsects, fish
Sq2Learned sequences — acquired behavioral chainsMany vertebrates
Sq3Planned sequences — prospective construction of action series before executionGreat apes, corvids
Sq4Hierarchical sequences — sequences within sequences, sub-routinesHumans, possibly great apes
Full SqRecursive sequences — sequences that reference themselves, recursive grammarHumans

Phase transition: Sq2→Sq3. Planning. Below: sequences are reactive or learned. Above: sequences are CONSTRUCTED PROSPECTIVELY — representing future states and ordering actions to achieve them. Strategic behavior.

3.5 Symbolization (Sy)

Definition: Arbitrary sign-meaning mapping — creating tokens that stand for categories with NO physical resemblance between sign and referent. The evaluator primitive of the cognitive substrate.

LevelDescriptionExample organisms
Sy0No symbols — no arbitrary sign-meaning mappingMost animals
Sy1Indexical signs — signs physically connected to referents (smoke→fire, growl→aggression)Many animals
Sy2Iconic signs — signs that resemble referents (alarm calls mimicking predator, threat displays)Primates, birds
Sy3Arbitrary symbols — signs with NO physical connection to referent (learned vocabulary)Trained apes, possibly some wild species
Sy4Combinatorial symbols — symbols combine productively (two symbols together mean something new)Human language, very limited in other species
Full SyRecursive symbols — symbols embed within symbols to unlimited depth (recursive grammar)Humans only (as far as known)

Phase transition: Sy2→Sy3. Arbitrary symbolization. The sign-meaning mapping becomes ARBITRARY — "dog" doesn't resemble a dog. Arbitrariness makes the symbol system OPEN — you can create new symbols for anything. This is the cognitive analog of the genetic code.

Phase transition: Sy4→Full Sy. Recursion. Symbols embed within symbols to unlimited depth. Recursive embedding makes language INFINITE — finite words, infinite sentences. This is the transition that makes human cognition qualitatively different.

3.6 Evaluation (Ev)

Definition: Assessing representations against goals, preferences, values, emotions — adding MOTIVATIONAL DIRECTION to cognitive processing.

LevelDescriptionExample organisms
Ev0No evaluation — no motivational directionHypothetical only
Ev1Hedonic evaluation — pleasure/pain, approach/avoidAll animals with nervous systems
Ev2Emotional evaluation — multi-dimensional affect (fear, anger, curiosity, joy)Mammals, birds
Ev3Social evaluation — evaluating others' states and intentions (empathy, fairness, trust)Primates, social mammals/birds
Ev4Normative evaluation — evaluating against rules/standards independent of personal experienceHumans, possibly great apes
Full EvReflective evaluation — evaluating one's own evaluations (moral reasoning, value revision)Humans

Phase transition: Ev3→Ev4. Normativity. Below: evaluate based on experience and social context. Above: evaluate based on RULES AND STANDARDS that apply independently. Normativity is what makes cultural evaluation possible — shared standards constraining individual behavior.


Step 4 — Dependencies

Rp → (nothing; foundation — all cognition starts with representation)
Ct → Rp (categorize representations — need representations first)
As → Ct (associate categories — need categories first)
Sq → Rp (sequence representations in time — need representations first)
Sy → Ct + As (symbols map arbitrary signs to categories via associative learning)
Ev → Rp (evaluate representations — need representations first)

DAG:

Rp (hub — no dependencies)
  ├── Ct → As ─┐
  │             ├── Sy
  │        Ct ──┘
  ├── Sq
  └── Ev

Hub: Rp (Representation). Everything depends on having internal models. This parallels G (Genome) in biology and E+I (Entity+Identity) in entity system — the encoding primitive is always the hub.

Sy has the most dependencies — requires both Ct AND As. This makes symbolic thought the LATEST and most demanding cognitive capability, matching evolutionary evidence.

Three independent branches from Rp: {Ct→As→Sy}, {Sq}, {Ev}. These branches can develop relatively independently, explaining cognitive diversity across species (some species are strong on Sq but weak on Ct3, others strong on Ev but weak on Sq3).


Step 5-6 — Pair Enumeration and Load Classification

C(6,2) = 15 pairs.

Heavy pairs (8 of 15 = 53%)

PairContentWhy heavy
Rp-CtCategorized perception — seeing the world as STRUCTUREDThe foundation of structured cognition. Without: raw sensation. With: recognized objects, classified events.
Rp-SqTemporal representation — episodic memory, planning, narrativeInternal models ordered in time. Without: snapshot cognition. With: past, present, future.
Rp-EvMotivated perception — emotional coloring of experienceRepresentations have SIGNIFICANCE. Without: neutral processing. With: things MATTER.
Ct-AsSemantic knowledge — category networks, ontologiesCategories connected by relations. Without: isolated types. With: organized knowledge.
Ct-SyNamed categories — vocabulary, labeling, taxonomyCategories get arbitrary names. Without: categories exist but can't be shared. With: communicable knowledge.
As-SySymbolic association — metaphor, analogy in languageAssociations expressed symbolically. Without: associations are private. With: metaphor, explanation, theory.
Sq-SyGrammar — symbolic sequences, syntax, narrative structureSymbols ordered in time. Without: symbol lists. With: sentences, arguments, stories.
Sy-EvMeaningful symbols — loaded terms, values in language, normative discourseSymbols carry evaluative weight. Without: neutral symbols. With: words that MATTER (justice, freedom, sacred).

8 heavy pairs is 53% — the highest ratio of any substrate domain analyzed. This indicates the cognitive substrate is TIGHTLY INTEGRATED — most primitive pairs interact heavily. This reflects the phenomenological fact that cognitive operations are deeply intertwined (perception is influenced by expectation, language shapes categorization, emotion colors memory, etc.).

Medium pairs (4)

PairContent
Rp-AsRelational knowledge — represented associations
Rp-SyMental lexicon — symbolic representations
Ct-SqScripts — categorized event sequences
Ct-EvCategory valence — emotional associations with types

Light pairs (3)

PairContent
As-EvLearned preferences — associative valence
Sq-EvEmotional arcs — evaluated sequences
As-SqCausal chains — associated sequences

Step 7 — Coherent Sub-lattice

Three independent branches from Rp:

Total valid: 1 (empty) + 4 × 2 × 2 (Rp present, branches vary) = 17 of 64.

Filter: 26.6%.

Comparison

DomainPrimitivesValid subsetsFilter
Biology68/6412.5%
Entity system69/6414.0%
Cognitive substrate617/6426.6%
Neural hardware621/6432.8%
Digital hardware622/6434.4%

The cognitive substrate at 26.6% is LOOSER than biology (12.5%) and entity system (14.0%) but TIGHTER than its realization layer (neural hardware 32.8%). The branching dependency structure (three independent branches from Rp) creates more valid combinations than biology's or entity system's more chain-like structures. This reflects cognitive flexibility — different combinations of capabilities are viable.


Step 8 — Hasse Diagram Walks

8.1 The evolutionary build-up (canonical walk)

{} → {Rp} → {Rp,Ev} → {Rp,Ct,Ev} → {Rp,Ct,As,Ev} → {Rp,Ct,As,Sq,Ev} → {Rp,Ct,As,Sq,Sy,Ev}

Step 0→1: Representation emerges. Internal models form — simple sensory images. (Earliest nervous systems, ~600 Mya)

Step 1→2: Evaluation joins. Representations gain motivational significance — approach/avoid, pleasure/pain. (Very early — present in all nervous systems)

Step 2→3: Categorization develops. Representations get organized into types — "food," "predator," "mate." (Early vertebrates, ~500 Mya)

Step 3→4: Association connects. Categories get linked by relations — co-occurrence, causation. (Many vertebrates, ~400 Mya)

Step 4→5: Sequence orders. Representations and associations get temporal structure — planned action sequences, prospective cognition. (Advanced vertebrates, ~100 Mya?)

Step 5→6: Symbolization crowns. Arbitrary signs map to categories, combine productively, embed recursively. Language. (~300 Kya for Full Sy in H. sapiens)

8.2 Match to evolutionary record

StepPredictionEvidence
Rp firstSensory processing is the most ancient neural functionSensory neurons predate motor or interneurons in evolutionary sequence
Ev earlyHedonic valuation appears almost immediately with nervous systemsDopamine reward circuitry is conserved across all bilaterians
Ct nextCategorical perception develops in early vertebratesFish can learn category discriminations; categorical perception of faces in monkeys
As before SqAssociative learning appears earlier than prospective planningClassical conditioning in fish; planning limited to advanced mammals/corvids
Sy lastSymbolic cognition is the rarest, most recent capabilityOnly humans achieve Full Sy; limited Sy in trained apes

The evolutionary walk matches the fossil/comparative record.

8.3 The developmental walk (ontogenetic)

{Rp,Ev} (birth) → +Ct (months) → +As (months) → +Sq (years) → +Sy (years)

Human infants develop cognitive capabilities in approximately the same order as the evolutionary walk:

Ontogeny partially recapitulates phylogeny — not perfectly, but the broad ordering is preserved.

8.4 The degradation walk (cognitive decline)

Full → lose Sy first (aphasia: language disorders) → lose Sq (executive dysfunction: planning failures)
  → lose As (semantic dementia: association networks degrade) → lose Ct (agnosia: category recognition fails)
    → lose Ev (apathy: motivational direction lost) → lose Rp (anosognosia: representation collapses)

The degradation roughly reverses the build-up — the most recently evolved capabilities (symbolization, sequencing) are the most fragile under neurological damage, while the most ancient (representation, evaluation) are the most robust. This matches Jackson's "dissolution" principle in neurology.


Step 9 — Load-Bearing Compositions

9.1 Core triad: {Rp, Ct, Sy}

"What is the cognitive information substrate?" → It represents the world (Rp), categorizes representations into types (Ct), and creates arbitrary symbols for categories (Sy).

All three pairs heavy: Rp-Ct ✓, Ct-Sy ✓, Rp-Sy (medium — not heavy).

Assessment: Rp-Sy is medium because symbolic thought requires categorization as intermediary — you symbolize CATEGORIES, not raw representations. The triad functions as core despite Rp-Sy being medium: Rp feeds Ct feeds Sy, and the three together constitute the cognitive "central dogma":

World → Representation (Rp) → Categorization (Ct) → Symbolization (Sy) → Communication → Other minds

Parallels:

9.2 Load-bearing triangles

{Rp, Ct, Ev} — Motivated categorized perception. "What does cognition DO for the organism?" → Represents the world (Rp), categorizes it (Ct), and evaluates it (Ev). This is the SURVIVAL triangle — the minimum cognitive capability that provides adaptive advantage. All three pairs heavy.

{Ct, As, Sy} — Symbolic knowledge. "What makes human cognition distinctive?" → Categories (Ct) connected by associations (As) expressed in symbols (Sy). This is the LANGUAGE triangle — the knowledge system that symbolic communication makes possible. All three pairs heavy.

{Rp, Sq, Sy} — Symbolic narrative. "What enables complex communication?" → Representations (Rp) ordered in sequences (Sq) expressed as symbols (Sy). This is the NARRATIVE triangle — story, argument, explanation. Rp-Sq heavy, Sq-Sy heavy, Rp-Sy medium.

{Ct, Sy, Ev} — Normative discourse. "What enables cultural evaluation?" → Categories (Ct) symbolized (Sy) and evaluated (Ev). This is the CULTURAL triangle — shared named categories with shared evaluative significance. "Justice," "honor," "sacred." Ct-Sy heavy, Sy-Ev heavy, Ct-Ev medium.

9.3 The two sub-systems

The cognitive substrate splits into two interacting sub-systems:

Information system: {Rp, Ct, As, Sy} — representing, categorizing, connecting, symbolizing. The KNOWLEDGE sub-system. What you KNOW.

Directive system: {Sq, Ev} — ordering, evaluating. The ACTION sub-system. What you DO.

These two sub-systems interact through all four cross-system pairs (Rp-Sq, Rp-Ev, Ct-Ev, Sq-Sy). The information system provides CONTENT; the directive system provides DIRECTION. Neither works without the other — knowledge without direction is inert, direction without knowledge is blind.

This parallels biology: {G, T, R, P} as information system, {Reg, Mem} as directive/boundary system. And entity system: {E, I, T} as information core, {M, X, P} as operational/directive.


Step 10 — Emergent Property Predictions

10.1 Properties at specific partial-level regimes

RegimePrimitive levelsEmergent propertyTest organisms
Minimal cognitionRp1, Ct1, Ev1, others at 0Stimulus discrimination — distinguish food from non-food, approach pleasant, avoid painfulInsects, simple fish
Associative learningRp2, Ct2, As2, Ev2Conditional behavior — learned responses to specific cues in specific contextsMost mammals, many birds
Causal reasoningRp3, Ct2-3, As2-3, Sq2, Ev2Problem-solving — understand cause-effect and manipulate environment accordinglyCorvids, primates, octopus
Abstract reasoningRp3-4, Ct3, As3, Sq3, Ev3Domain transfer — apply learned principles to novel domains, analogical reasoningGreat apes, corvids
Symbolic thoughtAll at 3+, Sy3+Communicable knowledge — internal cognitive content externalized and shared through arbitrary symbolsHumans (some trained apes at limited levels)
Recursive cognitionAll at FullSelf-referential thought — thinking about thinking, language about language, evaluating evaluationsHumans

10.2 Phase-transition-driven predictions

Ct2→Ct3 (abstraction) predicts: Organisms that cross this threshold should show: transfer of category rules to novel instances, performance on relational match-to-sample (same/different), concept learning beyond specific stimuli. Testable and confirmed — corvids and primates pass, most other species fail.

As2→As3 (analogy) predicts: Organisms with analogical association should show: one-shot cross-domain transfer, novel problem-solving by structural mapping. Testable — corvids (trap-tube paradigm variations) and chimpanzees (analogical reasoning tasks) show this.

Sy2→Sy3 (arbitrary symbols) predicts: Organisms crossing this threshold should show: productive vocabulary (new words for new things), comprehension without physical resemblance between sign and referent. Testable — Kanzi (bonobo) demonstrates this at limited scale; human children demonstrate it explosively (~18 months vocabulary explosion).

All primitives at 3+ simultaneously predicts: The system should show CULTURAL ACCUMULATION — knowledge that grows across generations rather than being re-learned by each individual. This requires Sy3+ (communicable) + Ct3+ (abstract content) + As3+ (transferable structure) + Sq3+ (plannable transmission) + Ev3+ (social evaluation of transmitted knowledge). Only humans satisfy all five conditions, and only humans show cumulative culture.


Step 11 — Structural Pattern Observations

11.1 The core triad pattern

DomainCore triadWhat it means
Biology{G, T, R}Genome → Transcription → Ribosome = genetic information → function
Entity system{E, I, T}Entity → Identity → Tree = typed data → organized structure
Cognitive substrate{Rp, Ct, Sy}Representation → Categorization → Symbolization = internal model → organized → communicable

All three core triads follow the pattern: ENCODING → STRUCTURE → EVALUATION/TRANSLATION. The core triad IS the information substrate's central dogma — how information is stored, organized, and translated into function.

11.2 The evaluator position

DomainEvaluatorDeterminism
BiologyR (ribosome)Kd4-Full: deterministic molecular machine
Entity systemX (dispatch)Kd4-Full: deterministic type-checked routing
Cognitive substrateSy (symbolization)Kd1-4 SPLIT: formal mode deterministic, linguistic mode variable

The split evaluator is cognition's distinctive structural feature. It explains WHY cultural information is less reliable than genetic or digital information — the translation mechanism itself is variable.

11.3 The ambient core triad at the surface

In each case, the core triad primitives become AMBIENT at the surface level:

11.4 The heavy pair ratio

DomainHeavy pairs / totalRatio
Biology7/1547%
Entity system7/1547%
Cognitive substrate8/1553%
Neural hardware4/1527%

The cognitive substrate has the HIGHEST heavy pair ratio of any domain analyzed. This reflects tight integration — cognitive operations are deeply intertwined. Perception affects categorization, language affects thought, emotion affects memory, association affects evaluation.


Step 12 — Literature Alignment and Cross-Domain Mapping

12.1 Literature alignment

PrimitivePrimary fieldKey researchers
Rp (Representation)Perception, memory, imageryBaddeley (working memory), Kosslyn (mental imagery), Tulving (episodic memory)
Ct (Categorization)Concept formation, categorizationRosch (prototype theory), Murphy (category structure), Nosofsky (exemplar models)
As (Association)Learning, semantic memoryRescorla-Wagner (conditioning), Collins & Loftus (semantic networks)
Sq (Sequence)Planning, executive function, language productionMiller-Galanter-Pribram (plans), Lashley (serial order), Botvinick (hierarchical control)
Sy (Symbolization)Linguistics, semiotics, symbolic cognitionChomsky (generative grammar), Deacon (symbolic species), Peirce (semiotics)
Ev (Evaluation)Motivation, emotion, decision-makingDamasio (somatic markers), Kahneman (prospect theory), Panksepp (affective neuroscience)

Each primitive maps cleanly to established research traditions. No primitive confusingly spans multiple fields. No major cognitive science subfield is left unmapped.

12.2 Cross-domain mapping to biology

Cognitive substrateBiologyStructural role
Rp (Representation)G (Genome)Information storage/encoding
Ct (Categorization)T (Transcription)Information organization/readout
As (Association)P (Protein) — functional connectionsFunctional connection between components
Sq (Sequence)M (Emit) in entity systemTemporal ordering of events
Sy (Symbolization)R (Ribosome)Evaluator — encoding → function translation
Ev (Evaluation)Reg (Regulation)Direction — what gets processed

12.3 Cross-domain mapping to entity system

Cognitive substrateEntity systemStructural role
Rp (Representation)E (Entity)Information storage
Ct (Categorization)I (Identity) + T (Tree)Information organization
As (Association)(implicit in tree structure)Relational structure
Sq (Sequence)M (Emit)Temporal ordering, event production
Sy (Symbolization)X (Execution/Dispatch)Evaluator — data → computation
Ev (Evaluation)(implicit in handler logic)Direction/evaluation

12.4 Cross-domain mapping to neural hardware (downward)

Cognitive substrateNeural hardware primary supportBridge mechanism
RpNr + Og (population codes in organized tissue)Population Coding, Sensory Encoding, Hierarchical Processing
CtSy (Hebbian plasticity creates attractor states)Hebbian Learning, Hierarchical Processing
AsSy (strengthened pathways between representations)Hebbian Learning, Predictive Processing
SqOl (oscillatory phase provides temporal ordering)Sequence Generation, Oscillatory Binding
SyOg + Nr + Sy (composite — no single mechanism)Composite gate: Pc3+ × Hl3+ × Sg-Full × Rs3+ × Hp3+ × Md-Full
EvMb (neuromodulatory signals — dopamine, serotonin)Reward Signaling, Attentional Selection

Summary

Primitives

#PrimitiveAbbreviationDefinition
1RepresentationRpInternal models of states — perceptual, memorial, imagined, counterfactual
2CategorizationCtGrouping representations into types — perceptual, functional, abstract, hierarchical, recursive
3AssociationAsConnecting categories by relations — conditioning, causation, analogy, networks, formal systems
4SequenceSqTemporal ordering — reactive, learned, planned, hierarchical, recursive
5SymbolizationSyArbitrary sign-meaning mapping — indexical, iconic, arbitrary, combinatorial, recursive
6EvaluationEvMotivational direction — hedonic, emotional, social, normative, reflective

Key structural features


Activation mapping and reconciliation

Activation mapping (data/domains/cognitive-substrate.v1.json, all discriminating; one-home-per-construct): per the domain rule (#31), the four JSON-flagged phase_transitions each carry a single-driver partial_level.emergentRp3 (detached/abstract representation; Step 3 + Step 9.1 hub), Ct3 (abstract categorization, the concrete→concept divide; Step 10.2 Ct2→Ct3), Sq4 (prospective sequencing / planning; Step 3 + Step 10.1), Sy3 (recursive grammar / language — the evaluator threshold and the cognitive-side realization of the neural→cognitive bridge's symbolization composite gate; Step 10.2 Sy2→Sy3 + Step 11.2). Step 10.2's As2→As3 analogy prediction maps to an As.emergent_phases band [3,3] (no As level is a JSON phase_transition → band, not a fabricated PT flag, #19). The Step-9.1 core triad {Rp,Ct,Sy} (the cognitive "central dogma", the file's existing emergent_property) carries a composition.emergent (presence τ) per the core-triad rule. A new {Ct,As,Sq,Sy,Ev} higher composition is added to host Step 10.2's explicit cumulative-culture gate ("All primitives at 3+ → CULTURAL ACCUMULATION" — the analyst's signature whole-substrate emergent; Step-10-requires-construct add #33; conjunction τ all at level 3, Rp≥3 transitive via Ct3⇒Rp3). A full-6 higher composition is added per the per-domain template (presence τ — Step 8.1 endpoint + Step 10.1 "Recursive cognition — All at Full"). Non-over-flag: the three other named compositions {Rp,Sq,Sy}, {As,Sq,Ev}, {Rp,Ct,As} get NO emergent — they are the analyst's structural load-bearing triangles (Step 9.2) but are NOT Step-10 emergent predictions and are not singled out as defining functional units beyond the core triad (gradient default; parallels the chemistry firm-triangles / neural-hardware spine non-over-flag).

Reconciliation (structure-fix — analysis-right / JSON-model-divergent, the #40 class): this analysis's Step-4 dependency model and Step-7 derivation are internally consistent and correct — the DAG (Rp ├── Ct→As ─┐... Sy), Step 7 ("Branch 1: Ct → As → Sy"), line "Sy has the most dependencies — requires both Ct AND As", and the three-independent-branches statement all coherently yield 17/64 = 26.6% (independently BFS-verified; no arithmetic slip, unlike the neural→cognitive bridge). The defect was purely in data/domains/cognitive-substrate.v1.json: it carried a divergent As⇒Rp (this analysis deliberately models As as categorical/semantic association — Step 4 "As → Ct, associate categories", Step 5-6 Ct-As heavy pair = "semantic knowledge, category networks, ontologies") and a redundant direct Sy⇒Rp (the analyst's Step 4 lists only Sy → Ct + As; Sy⇒Rp is transitive via Sy⇒Ct⇒Rp). Both corrected to the analyst's model (As⇒Ct; redundant Sy⇒Rp removed); BFS over the corrected presence-dependency set = 17/64 = 26.6%, matching this analysis and the already-correct stored filter_stringency (only the JSON dependency model diverged, not the value). Per the filter-discipline rule, the reconciled JSON↔analysis model is BFS-authoritative; the analyst's deliberate, internally-coherent conception of As (categorical association) is the canonical rationale and was not overridden.


Referenced by the model

Cited as a source by 8 model records (browse the model census):