From Admission to Invariants: Measuring Deviation in Delegated Agent Systems
Autonomous agent systems are governed by enforcement mechanisms that flag hard constraint violations at runtime. The Agent Control Protocol identifies a structural limit of such systems: a correctly-functioning enforcement engine can enter a regime in which behavioral drift is invisible to it, because the enforcement signal operates below the layer where deviation is measurable. We show that enforcement-based governance is structurally unable to determine whether an agent behavior remains within the admissible behavior space A0 established at admission time. Our central result, the Non-Identifiability Theorem, proves that A0 is not in the sigma-algebra generated by the enforcement signal ...
| Authors | Marcelo Fernandez |
|---|---|
| Primary category | cs.AI |
| Published | 19 April 2026 |
| Last updated at source | 21 April 2026 |
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