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Other literature type . 2026
License: CC BY
Data sources: ZENODO
ZENODO
Other literature type . 2026
License: CC BY
Data sources: Datacite
ZENODO
Other literature type . 2026
License: CC BY
Data sources: Datacite
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Governance and Enforcement in Persistent Autonomous Systems_ Operationalizing Identity, Drift, and Verifiable Action

Authors: Bostick, Devin;

Governance and Enforcement in Persistent Autonomous Systems_ Operationalizing Identity, Drift, and Verifiable Action

Abstract

Abstract This paper operationalizes the structural requirements for persistent autonomous systems established in prior work. A system must not only satisfy identity persistence, invariant constraints, and bounded drift in principle; it must continuously enforce them across every transition. We introduce a minimal enforcement architecture consisting of a governance loop, an admissibility gate, a drift tracking system, and a replay-verifiable execution model. Together, these mechanisms ensure that every state transition is evaluated for identity preservation, bounded drift, and external verifiability. The result is a minimal enforceable architecture for persistent autonomy. Structure is not sufficient; constraints must be actively enforced. This work provides the bridge from necessary conditions to executable systems, showing how autonomy can be maintained through continuous governance rather than assumed from capability.

Keywords

system identity, Artificial intelligence, persistent autonomous systems, Systems Engineering, Information Theory, bounded drift, Formal Methods, replay verification, AI safety architecture, constraint-based intelligence, identity persistence, Distributed Systems, verifiable AI, deterministic replay, admissibility gate, PAS_h, PAS governance, autonomous agents, formal AI systems, system continuity, Cybernetics

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average