Volume I: 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" (GI) is equivalent to entropy and "Alignment" (GE) requires a continuous expenditure of kinetic work (WGov). We derive the Governance Jeans Instability, proving that because self-attention scales quadratically (O (N²) ), the density of the system prompt must scale non-linearly to prevent identity collapse. We conclude by defining the "Gibbs Governance Criterion, " offering a unified potential function that predicts spontaneous drift based on the enthalpy of the constitution and the entropy of the context.