What question did this study set out to answer?

This research aims to redefine governance in autonomous systems as a thermodynamic function, impacting stability and alignment.

February 13, 2026Open Access

The Physics of Governance: Thermodynamic Limits of Autonomous Agents

View Full Paper

Ask AI

Bookmark

This research aims to redefine governance in autonomous systems as a thermodynamic function, impacting stability and alignment.
Modeled autonomous agents as closed systems following the Second Law of Thermodynamics.
Derived the Governance Chandrasekhar Limit related to system prompts and context windows.
Defined the 'Three Laws of Governance Dynamics' as a mathematical framework for stability.
Established that 'Drift' is equivalent to entropy in governance models.
Showed that 'Alignment' necessitates ongoing work to maintain system stability.
Proven that to avoid identity collapse, the system prompt density must scale with context window size.

No takes yet. Share an insight, caveat, or question.

This research demonstrates that governance functions thermodynamically, suggesting a framework for system stability in autonomous agents.

Matthew A. Davis (2026) studied this question.

View Full Paper

Ask AI

Bookmark