TriadicFrameworks
Overview

Simulation Engine

A structural simulation framework for the Governance Substrate Model (GSM)

The simulation engine models stepwise structural movement across the GSM manifold. It integrates drift dynamics, cross‑axis physics, invariant tension, absorptive capacity, basin topology, regime modes, and phase discipline to generate plausible structural trajectories. It is not predictive; it explores the structural possibility space.

Core purpose of the simulation engine#

The engine enables:

  • stepwise structural evolution
  • basin approach, departure, and crossing
  • drift amplification and dampening
  • regime‑mode transitions
  • phase‑honest structural sequences
  • scenario exploration for teaching and analysis

It provides the backbone for interactive dashboards, Observer timelines, and structural scenario tools.

Simulation inputs#

The engine requires:

  • initial structural vector [C, M, O, A, T]
  • invariant status and tension score
  • physics forces across axis pairs
  • drift vector and category
  • basin classification and boundary proximity
  • awareness layers
  • absorptive strength
  • regime mode and phase state
  • projection rules (optional)

These inputs define the system’s starting structural conditions.

Step engine#

Each simulation step consists of:

  1. Evaluate invariants

    • classify aligned, tension, violated
    • compute tension score

  2. Apply physics forces

    • compute compensatory movement
    • detect destabilizing forces

  3. Compute drift

    • update drift vector
    • classify drift category
    • apply drift amplification or dampening

  4. Update structural vector

    • apply drift and compensatory deltas
    • clamp to manifold boundaries

  5. Recompute basin position

    • nearest basin
    • basin distance
    • boundary proximity
    • stability score

  6. Evaluate regime mode

    • stable, tension, drift, compensatory, transition, absorptive, fragmentation, reconstruction

  7. Evaluate phase discipline

    • stable phase
    • tension phase
    • drift phase
    • transition phase
    • reconstruction phase

  8. Generate step event

    • alignment, tension, drift, transition, or regime‑shift event

  9. Record step in simulation log

Each step produces a new structural state.

Drift engine integration#

The simulation engine uses the drift engine to:

  • compute drift magnitude
  • classify drift category
  • detect directional consistency
  • identify regime‑shift drift
  • evaluate absorptive dampening

Drift determines whether the system stabilizes, moves, or transitions.

Physics engine integration#

Cross‑axis physics governs:

  • compensatory movement
  • tension accumulation
  • drift amplification
  • destabilization thresholds

Physics forces determine whether drift is corrected or amplified.

Basin engine integration#

The basin engine provides:

  • nearest basin
  • basin distance
  • stability gradients
  • boundary proximity
  • transition thresholds

Basin topology determines whether the system stabilizes or transitions.

Regime‑mode integration#

Regime modes interpret operational behavior:

  • stable — aligned, low drift
  • tension — rising strain
  • drift — directional movement
  • compensatory — physics correction
  • transition — basin crossing
  • absorptive — buffering
  • fragmentation — structural breakdown
  • reconstruction — re‑anchoring

Modes provide behavioral context for each step.

Phase discipline integration#

Phase discipline ensures phase‑honest transitions:

  • stable → tension → drift → transition → reconstruction
  • no skipping phases unless drift is regime‑shift
  • structural debt accumulates if exit conditions are ignored

Phases provide structural coherence across steps.

Projection integration#

The simulation engine can optionally use projection rules to:

  • extend drift vectors
  • estimate basin trajectories
  • compute transition likelihood
  • forecast absorptive strength
  • project regime‑mode sequences

Projections guide scenario exploration.

Simulation outputs#

Each simulation run produces:

  • stepwise structural states
  • drift sequences
  • basin trajectories
  • regime‑mode sequences
  • phase sequences
  • transition events
  • regime‑shift events
  • narrative summaries

These outputs feed the Observer and dashboards.

Simulation log schema#

Each step is recorded as:

step:
  step_id: <number>
  vector: [C, M, O, A, T]
  drift:
    vector: [dC, dM, dO, dA, dT]
    magnitude: <number>
    category: <micro|meso|macro|regime_shift>
  physics_forces:
    - axis_pair: <C↔O | M↔A | O↔T>
      magnitude: <number>
      direction: <positive|negative>
  invariants:
    aligned: [...]
    tension: [...]
    violated: [...]
    tension_score: <number>
  basin:
    nearest: <CPL|CPF|CTR|PCL|HCL>
    distance: <number>
    boundary_proximity: <number>
    stability_score: <number>
  regime_mode: <mode>
  phase_state: <phase>
  absorptive_strength: <number>
  events: [...]

Simulation modes#

The engine supports:

  • deterministic mode — fixed rules, no randomness
  • stochastic mode — controlled variation in drift and physics
  • scenario mode — user‑defined interventions
  • counterfactual mode — alternate structural histories

These modes support teaching, analysis, and exploration.

Narrative engine integration#

The simulation engine generates:

  • structural narratives
  • drift narratives
  • basin narratives
  • transition narratives
  • regime‑shift narratives

Narratives make simulations interpretable for humans.

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