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Preprint . 2026
License: CC BY
Data sources: Datacite
ZENODO
Preprint . 2026
License: CC BY
Data sources: Datacite
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The Degrees-of-Freedom Knob: A Control-Theoretic, Data-Anchored Proxy Model of Operational Capability Under Constraint Regimes (1656–2026)

Authors: SIKX HILTON;

The Degrees-of-Freedom Knob: A Control-Theoretic, Data-Anchored Proxy Model of Operational Capability Under Constraint Regimes (1656–2026)

Abstract

Fundamental physical laws fix the underlying dynamical degrees of freedom of Nature, butsocieties operate within a time-dependent operational subset: the set of actions that can bereliably measured, prepared, controlled, scaled, and legally/physically executed. We formalizea “degrees-of-freedom knob” as a time-varying admissible-control constraint U (t) acting on asocio-technical dynamical system, thereby shrinking (or expanding) the reachable set in statespace without changing the plant physics. We focus on hazard-class operational reachability(high-externality actuators) and show that a measurable constraint surrogate can reduce real-ized operational degrees of freedom even while the general scientific capability frontier growsexponentially. We propose (i) a rigorous operational-DOF definition via reachability volume andGramian surrogates; (ii) a data-anchored frontier capability proxy C(t) using three observablechannels: time/frequency metrology, compute density, and societal energy throughput; and (iii)a measurable constraint surrogate S(t) defined as a normalized Restricted-Actuator Index (RAI)derived from in-force multilateral instruments that ban or gate specific experimental modali-ties and weaponization lifecycle primitives. Finally, we specify an AI/AGI Capability-GatingProtocol (ACGP) that implements the knob in software through capability-conditioned disclo-sure and capability-conditioned tool access, structured as policy decision/enforcement pointswith auditable, multi-party-controlled overrides. Importantly, the protocol does not attempt tosuppress derivable science; it gates execution accelerants and enforces anti-capture safeguards(auditability, multi-party control, periodic recalibration). The resulting framework is falsifiable:it predicts that increases in metrology and automation must be matched by either (a) payoff-reduction hardening (e.g., cryptographic migration) or (b) tighter actuator gating to maintaina stable viability envelope.

Keywords

hazard-class capability, systems dynamics, socio-technical systems, Restricted-Actuator Index, control theory, reachability analysis, dual-use technology, policy enforcement, operational degrees of freedom, degrees-of-freedom knob, admissible control sets, control-theoretic model, constraint regimes, hazard reachability, operational DOF, AI/AGI governance, capability proxy, AI governance, capability gating, metrology, capability under constraints, AI safety, energy throughput, operational reachability, controllability Gramian, compute scaling

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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
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