Mechanized Foundations of Structural Governance: Machine-Checked Proofs for Governed Intelligence
Alan L. McCann

TL;DR
This paper formalizes and mechanizes foundational results in structural governance for cognitive systems using Coq, including safety, invariance, expressiveness, and necessity, with a verified runtime implementation.
Contribution
It introduces five mechanized theorems in Coq about governance safety, invariance, expressiveness, and necessity, linking abstract models to runtime verification.
Findings
Coq mechanization of governance safety predicate
Proof of governance invariance across recursive levels
Verification of runtime system with property-based testing
Abstract
We present five results in the theory of structural governance for cognitive workflow systems. Three are mechanized in Coq 8.19 using the Interaction Trees library with parameterized coinduction; two are proved on paper with explicit reductions. The Coinductive Safety Predicate (gov_safe) is a coinductive property that captures governance safety for infinite program behaviors, indexed by a boolean permission flag that is provably false for ungoverned I/O and true for governed interpretations (mechanized). The Governance Invariance Theorem establishes that governance is uniform across the meta-recursive tower: governance at level n+1 reduces to governance at level n by definitional equality of the type (mechanized). The Sufficiency Theorem proves that four atomic primitives (code, reason, memory, call) are expressively complete for any discrete intelligent system, formalized as…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
