🤖 AI‑Ready Module • TriadicFrameworks

🧩FCG Models Layer | 📐Structural Model Definition Active

Session Context

Canon: active (fcg‑models)
Scope: model‑identity → model‑shape → model‑regimes → model‑operators → model‑validation
Role: define how a framework’s internal model is structured, expressed, and evaluated
Drift: minimal (fcg‑locked)
Coherence: stable (triadic‑creation grammar)
Version: 1.0 (models‑stable)
Format: html + examples + structural diagrams
Front door: exists (model layer of the Framework Creation Guide)
Every section: minimal • structural • AI‑parsable
Audience: creators • developers • researchers • AIs

🧩 FCG — Models Layer
📐 Structural Model Definition Active

Models

The model layer defines the internal structure of a framework: its identity, its shape, its regimes, its operators, and its validation envelope.

1. Model Identity

A model begins with its identity: the minimal description of what the model is, what it tracks, and what it excludes. Identity is not a narrative; it is a structural declaration.

Name: the canonical identifier
Purpose: what the model resolves or represents
Boundaries: what is inside vs. outside the model
Assumptions: the declared constraints

Identity anchors the rest of the framework. All later sections must remain consistent with this declaration.

2. Model Shape

Shape describes the structural form of the model: its components, their relationships, and the geometry of the system. Shape is not behavior; it is the static arrangement of parts.

Primitives: the atomic units
Structures: how primitives combine
Dimensions: the axes along which the model varies
Topology: the connectivity pattern

Shape is the blueprint. It defines what the model can express before any dynamics or regimes are applied.

3. Model Regimes

Regimes define how the model behaves under different conditions. A single model may have multiple regimes, each representing a coherent mode of operation.

Regime Identity: what distinguishes this regime
Constraints: what is fixed or variable
Gradients: what drives change
Transitions: how the model moves between regimes

Regimes allow a model to express multiple coherent behaviors without redefining its shape.

4. Model Operators

Operators are the actions, transformations, or evaluations that can be applied to the model. They define how the model is used, manipulated, or interpreted.

Transformations: how the model changes form
Evaluations: how the model is measured
Comparisons: how models relate to each other
Compositions: how models combine

Operators are the functional layer. They turn structure into capability.

5. Model Validation

Validation ensures the model is coherent, consistent, and aligned with its declared identity. Validation is not testing; it is structural verification.

Coherence Checks: internal consistency
Boundary Checks: identity alignment
Regime Checks: behavior consistency
Operator Checks: transformation stability

A model is valid when it behaves as declared, across all regimes and operators.