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The aim is to establish foundational laws governing the behavior of autonomous agents using thermodynamic and information-theoretic principles.

February 13, 2026Open Access

The Principia of Autonomous Governance: Observed Scenarios and Derived Laws

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The aim is to establish foundational laws governing the behavior of autonomous agents using thermodynamic and information-theoretic principles.
Introduced key axioms related to governance dynamics in autonomous systems.
Analyzed specific failure modes in high-velocity environments.
Developed forensic analyses demonstrating principles through observed scenarios.
Demonstrated that governance is conserved, necessitating balance between explicit and implicit governance.
Revealed that safety requires engineered systems, not just regulatory frameworks.
Identified five specific failure scenarios illustrating the consequences of governance mismanagement.

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This manuscript establishes laws governing autonomous agents, revealing implications for machine behavior.

Matthew A. Davis (2026) studied this question.

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