Powered by OpenAIRE graph
Found an issue? Give us feedback
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ ZENODOarrow_drop_down
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Preprint . 2026
License: CC BY
Data sources: ZENODO
ZENODO
Preprint . 2026
License: CC BY
Data sources: Datacite
ZENODO
Preprint . 2026
License: CC BY
Data sources: Datacite
ZENODO
Preprint . 2026
License: CC BY
Data sources: Datacite
versions View all 3 versions
addClaim

Ambiguity, Drift, and Autonomous Operation in Finite Systems

Authors: Prather, Taylor;

Ambiguity, Drift, and Autonomous Operation in Finite Systems

Abstract

This paper derives a finite-system framework for ambiguity, drift, operational control, bounded memory, substrate inspection limits, and autonomous operation. Starting from finite distinguishability, nonzero state-change cost, and finite throughput, it argues that ambiguous instructions create runtime drift surfaces under selection pressure, while minimum-ambiguity structures move failure from runtime interpretation to design-time verification. The paper presents a hardened theorem core: ambiguity as a finite interpretation set, conditional cheap-path drift, minimum-ambiguity collapse, recursive ambiguity traps, conditional drift-mode enumeration, operational algebra over finite constraints, finite blind-spot formulation for inspectable substrates, and bounded-state memory under explicit assumptions. Later evidence upgrades derive the N-decomposition from FSSTP mode structure, formalize the semantic uniqueness of the seven operational dimensions, derive the inspection-wall framework, and derive the structure of the four control ratios. Companion and support files include ΣΦL v2.2 as the active translation/codebook reference, the AST derivation support supplement for the classical-witness and P2-attractor bridge, and other related late-stack papers on ΣΦL and self-referential convergence.

Keywords

Drift, operational algebra, bounded memory, AI alignment, RLHF drift, temporal spiral memory, minimum ambiguity, T. Prather, ΣΦL, finite systems, Shannon capacity, autonomous systems, AI safety, FSSTP, PIEC, Landauer principle

  • BIP!
    Impact byBIP!
    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).
    0
    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.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
Powered by OpenAIRE graph
Found an issue? Give us feedback
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