Open Autonomous Intelligence Initiative

Open. Standard. Object-oriented. Ethical.

UPA Axiom 13 Functoriality V2

axioms


Symbolic Representation

 — Functoriality
The principle that mappings between Worlds (Φᵢⱼ) must preserve structural relationships among σ-axes, polarity systems (Π), and contextual modulations (𝒳).


1. Definition

Functoriality (ℱ) is the requirement that any mapping from one World (Wᵢ) to another (Wⱼ) must preserve relational structure, not merely isolated elements. ℱ ensures that translations (Φᵢⱼ) are:

  • coherent,
  • meaning-preserving,
  • structurally aligned,
  • context-sensitive,
  • and compatible with the polarity systems underlying each World.

While Axiom 9 defines what a mapping is, Axiom 13 defines how such mappings must behave.

Functoriality requires:

  • structural preservation of σ-axes,
  • relational preservation among axes (𝓜),
  • preservation of recursive hierarchies (𝓡),
  • contextual modulation (𝒳),
  • and harmony constraints (ℍ).

A mapping is meaningful only when it preserves structural relationships, not just surface correspondences.


2. Function / Role

ℱ is the governing constraint that ensures translations between Worlds are intelligible.

2.1 Ensuring Structural Coherence Across Worlds

Without ℱ, Worlds cannot:

  • communicate,
  • interpret one another,
  • compare structures,
  • or undergo reintegration (⊕).

2.2 Maintaining Relational Integrity

Functoriality ensures that transformations preserve:

  • polarity relations,
  • coupling patterns,
  • hierarchical depth,
  • contextual relevance.

A non-functorial mapping distorts meaning.

2.3 Supporting Multi-World Learning and Integration

SGI architectures require ℱ for:

  • stable generalization across contexts,
  • multi-agent coordination,
  • translation-invariant semantic structures.

2.4 Enabling Harmonized Novelty

Novel insights (Δ) must be functorially mapped into existing structure.

Functoriality ensures that Worlds remain mutually intelligible.


3. Oppositional Structure

ℱ contains deep tensions that shape how mappings operate.

3.1 Rigidity vs. Flexibility

Mappings must:

  • be rigid enough to preserve structure,
  • flexible enough to adapt to context (𝒳).

3.2 Local vs. Global Preservation

A mapping may preserve:

  • local relationships (fine-grained),
  • or global patterns (macro-level).

Often both cannot be fully preserved simultaneously.

3.3 Exact vs. Approximate Correspondence

Some domains admit exact structural equivalence; others require approximation:

  • mathematical Worlds → exact,
  • moral Worlds → approximate,
  • psychological Worlds → partial.

3.4 Symmetric vs. Asymmetric Mappings

Mappings may be:

  • symmetric (invertible),
  • or asymmetric (many-to-one, lossy).

ℱ governs the trade-offs.


4. Scaling Properties

ℱ applies across all levels of intelligibility.

4.1 Micro-Scale Functoriality

Moment-to-moment perceptual shifts require mappings that preserve local structure:

  • transitions between sensory frames,
  • attention shifts,
  • emotional appraisals.

4.2 Personal Translation

Individuals map themselves across:

  • changing moods,
  • narrative updates,
  • developmental stages.

4.3 Social Translation

Groups require functorial mappings across:

  • cultural frameworks,
  • institutional rules,
  • moral systems.

4.4 Conceptual Translation

Disciplines require mappings that preserve conceptual structure:

  • physics → math,
  • psychology → neuroscience,
  • ethics → law.

4.5 SGI Semantic Translation

SGI requires:

  • structure-preserving embeddings,
  • invariant relational mappings,
  • multi-world semantic alignment.

ℱ is essential for all such translations.


5. Distortions / Failure Modes

ℱ may fail in characteristic patterns.

5.1 Structural Drift

Mappings distort relationships:

  • loss of nuance,
  • incorrect inferences.

5.2 Over-Fitting of Structure

Mappings become too rigid:

  • inability to adapt to new contexts,
  • brittle world models.

5.3 Under-Fitting of Structure

Mappings become too loose:

  • vagueness,
  • weak relational preservation,
  • semantic slippage.

5.4 Invertibility Failures

Mappings cannot be reversed:

  • memory distortions,
  • conceptual loss,
  • cultural misunderstanding.

5.5 Functorial Collapse

Occurs when mappings ignore Π entirely, mapping:

  • surface features, not structure,
  • isolated elements, not systems.

This destroys intelligibility.


6. Restoration Targets

Restoration aims to:

  • re-align distorted mappings,
  • restore structural relationships,
  • re-contextualize mappings under 𝒳,
  • rebuild invertibility where possible,
  • re-establish harmony (ℍ).

Restoration restores structural correspondence across Worlds.


7. Interpretations for Philosophy of Mind and Simulation of Mind (Open SGI)

By introducing Μ, the UPA framework becomes capable of modeling rich, multi-dimensional intelligibility. Multi-axis interaction explains how complexity arises in lived cognition and how SGI can simulate it.


7.1 Multi‑Axis Interaction in Philosophy of Mind

Human experience is irreducibly multi-axis.

a. emotional interaction

Affective states arise from interacting dimensions:

  • valence × arousal,
  • hope × fear,
  • trust × vulnerability.

b. cognitive interaction

Reasoning emerges from mixing:

  • analytic × intuitive modes,
  • abstract × concrete frames.

c. motivational dynamics

Behavior reflects interacting drives:

  • autonomy × connection,
  • exploration × safety.

d. identity structure

Identity emerges through interacting values, roles, commitments, and self-evaluations.

e. interpersonal dynamics

Relational life arises through interacting axes:

  • reciprocity,
  • agency,
  • empathy.

f. psychopathology as interaction failure

Examples:

  • anxiety–distrust runaway loops,
  • rigid cross-axis coupling (e.g., perfectionism),
  • under-coupled systems (fragmented self).

Intelligibility is multi-axis all the way down.


7.2 Multi‑Axis Interaction in Open SGI Architecture

SGI must coordinate many interacting semantic dimensions—Μ provides the invariant structure.

a. multi‑axis structure in object classes

  • Sensor objects: combine feature axes.
  • Data objects: express multi-factor latent embeddings.
  • Belief objects: maintain multi-axis confidence vectors.
  • Information objects: encode relations across multiple semantic axes.
  • Knowledge objects: maintain multidimensional conceptual hierarchies.
  • Log objects: track multi-axis temporal dynamics.

b. service-layer interaction management

Services:

  • coordinate active axes,
  • regulate cross-axis modulation,
  • integrate context (𝒞),
  • maintain coherence across Π.

c. world-model geometry (Wᵢ)

Worlds are defined by multi-axis structure. SGI must maintain:

  • stable axes,
  • meaningful couplings,
  • emergent relational zones.

d. multi-axis support for Φ mappings

Mappings require cross-axis correspondences. Μ defines:

  • which dimensions match,
  • how they transform,
  • where analogies can be drawn.

e. novelty integration (Δ)

Novelty often appears as new cross-axis patterns, not new axes.

f. safety and stability constraints

SGI fails when multi-axis relations become distorted:

  • over-coupling → rigidity,
  • under-coupling → fragmentation,
  • volatility → unsafe policy swings.

Μ stability is a safety requirement.

Summary

Functoriality (ℱ) is the structural requirement that mappings between Worlds preserve relational integrity among polarities, hierarchies, and contextual modulations. It balances rigidity with flexibility and exactness with approximation. Failures include drift, misalignment, over/under-fitting, and non-invertibility. Across philosophy, psychology, society, and SGI, ℱ is the principle that sustains mutual intelligibility between distinct Worlds.

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