Voxel Governance Simulator (SCBE)

Purpose

Implements a deterministic sparse voxel simulation that bridges:

1. Spectral channels (six Sacred Tongues)
2. Voxel addressing (quantized cubic space)
3. Quasicrystal projection/validation
4. Governance routing using Poincaré distance and Layer 12 costs

Canonical wall formula is preserved:

H(d*,R) = R * pi^(phi * d*)

Files

• Script: scripts/voxel_governance_sim.py
• Sample input: examples/voxel_inputs.sample.json
• Output (default): artifacts/voxel_governance_run.json

Run

python scripts/voxel_governance_sim.py `
  --input-json examples/voxel_inputs.sample.json `
  --count 12 `
  --output artifacts/voxel_governance_run.json

Output contract

Top-level output includes:

1. state_vector (coherence, energy, drift)
2. decision_record (action, signature, timestamp, reason, confidence)
3. route (geodesic-style shortest path and total cost)
4. voxels[] (per-voxel metrics and decision details)

Layer mapping

1. Layer 4/5: Poincaré embedding + hyperbolic distance via poincare_dist_3d.
2. Layer 9/12: coherence + Layer 12 cost from src/scbe_governance_math.py.
3. Layer 13: consensus decision from six local votes.
4. QC lattice: projection and acceptance window checks from qc_lattice/quasicrystal.py.

Notes

1. The simulator is deterministic for a given input seed list.
2. If quasicrystal validity fails, decision severity is escalated.
3. This is an engineering bridge artifact for runtime experimentation, not a replacement for canonical spec/tests.