Me
The Prevailing Accord integrates ontology validation, harmonic resonance adaptation, and structured mapping
to enable transparent and decentralized progression without hierarchical control.
✅ Ontology Refinement Submission → POST /api/prevailing/validate
✅ Validation Progress Tracking → GET /api/prevailing/status/{contributor_id}
✅ Harmonic Resonance Adjustment → PUT /api/prevailing/resonance/update
- Displays adaptation signals dynamically.
- Visualizes harmonic resonance validation to ensure integrity.
import matplotlib.pyplot as plt
import numpy as np
def visualize_ontology_validation(ontology_data, resonance_levels):
"""Generates visualization for Prevailing Accord validation tracking."""
fig, axes = plt.subplots(2, 1, figsize=(10, 8))
axes[0].plot(range(len(ontology_data)), [len(stage) for stage in ontology_data], marker='o', linestyle='-')
axes[0].set_title("Ontology Refinement Progress")
axes[0].set_xlabel("Validation Stage")
axes[0].set_ylabel("Refinement Complexity")
axes[1].plot(range(len(resonance_levels)), resonance_levels, marker='s', linestyle='-', color='g')
axes[1].set_title("Harmonic Resonance Validation")
axes[1].set_xlabel("Time Step")
axes[1].set_ylabel("Resonance Score")
axes[1].axhline(y=100, color='r', linestyle='--', label="Threshold")
axes[1].legend()
plt.tight_layout()
plt.show()