TECHNICAL REPORT: COMPUTATIONAL VALIDATION AND STRESS TESTING OF HEPOE THEORY BIOENERGETIC ALGORITHMS

ABSTRACT This Technical Report presents the computational validation of the HEPOE Theory (High Entropy Predictive Organization Efficiency). Using agent-based modeling (Python/NumPy), we simulated the thermodynamic behavior of the Sentinel Phenotype under high-entropy conditions. The algorithms tested the variables of Shannon Entropy (H(E)), Landauer’s Limit (Werasure), and Predictive Precision (ΔP). The results confirm the mathematical inevitability of metabolic collapse (Brain Fog) when the "Leaky Thalamus" dynamic interacts with high-fidelity processing, establishing a deterministic breakdown point at 70 minutes in toxic environments. Keywords: HEPOE Theory, Computational Psychiatry, Agent-Based Modeling, Sentinel Phenotype, Bioenergetics, Landauer’s Principle.