The Physics of Governance: Thermodynamic Limits of Autonomous Agents

This manuscript is Volume I of The Unified Field Theory of Autonomous Governance, a series formalizing the thermodynamic constraints of artificial intelligence.The deployment of autonomous agents in high-stakes enterprise environments is currently constrained by a fundamental misunderstanding of alignment. We propose that "Governance" is not a policy layer but a thermodynamic function. By modeling the agent as a closed system subject to the Second Law of Thermodynamics, we demonstrate that "Drift" (G_I) is equivalent to entropy and "Alignment" (G_E) requires a continuous expenditure of work (W_Gov). We derive the Governance Chandrasekhar Limit, proving that as the Context Window (V_Context) expands, the density of the system prompt must scale linearly to prevent identity collapse. We conclude by defining the "Three Laws of Governance Dynamics," offering a mathematical framework for the stability of autonomous systems.