Structural Overcompression in Governance Systems: A Dynamical and Agent-Based Validation Study

This report consolidates the formal development, numerical validation, and policy stress testing of a dynamical governance model describing structural overcompression in complex adaptive systems. The framework integrates a nonlinear system of ordinary differential equations (R–Φ–T model), an agent-based microfoundation, and a system identification procedure linking micro-level behavior to macro-dynamics.   Structural rigidity (R), feedback permeability (Φ), and adaptive temperature (T) are modeled as coupled state variables influenced by competitive pressure, governance composition, and exploratory capacity. Numerical simulations demonstrate the emergence of high-rigidity attractors, bistability under strong coupling regimes, and hysteresis effects in singularized states. Parameter recovery from synthetic agent-based data confirms partial identifiability, with robust estimation of compression dynamics and reduced identifiability in highly rigid regimes.   Policy stress tests reveal non-monotonic governance effects, showing that increased regulatory intensity can either enhance systemic resilience or accelerate structural lock-in depending on governance composition. The framework provides a formally grounded diagnostic approach to analyzing governance-induced instability and resilience in complex organizational systems.   Complex Adaptive Systems Governance Dynamics Structural Overcompression Organizational Rigidity Feedback Permeability Adaptive Capacity Nonlinear Dynamics Bifurcation Analysis Agent-Based Modeling System Identification Exploration–Exploitation Trade-off Hysteresis in Organizations Policy Stress Testing Dynamical Systems Modeling Organizational Resilience