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arXiv cs.AI· Sergey Salishev·· 11 小时前AI 评分18

从工程视角解读有界停机问题与通用机器的可观测性质

An Engineering Reading of the Bounded Halting Problem and Observable Properties of a Universal Machine

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论文将停机问题重新定义为有限步预算 T 下的有界停机问题,并用带显式加法开销的对角线论证证明:不存在固定确定性检查器能在低于 T 的任意固定比例内判定所有实例。

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Abstract:The halting problem asks whether a program eventually halts, with unrestricted resources. Engineering systems instead certify bounded halting: given a program, an input, and a step budget T, decide whether the program halts within T steps. This paper studies two of its uses. First, it defines an exact finite-budget problem, placing the simulated program and the checker on the same unit-cost timescale, so the checker can be embedded in an adversarial program. A diagonal argument with explicit additive overhead shows that no fixed deterministic checker decides every instance within any fixed fraction of T below one, for large T. In the nondeterministic case, T bounds the branch depth allowed for a stable observable decision. Second, bounded-halting instances give adversarial tests for finitary universality, since a universal model must support arbitrary finite computations as T grows. The tests check resource growth with T, the absence of a fixed deliberation bound, and later access to intermediate data. They separate a fixed model with extendable external resources, a model family that grows with T, and a larger system built around a fixed component. For machine-learning systems, this identifies the resource growth a universality claim assumes and whether it fails for deployed models.
Comments: 9 pages, 1 table
Subjects: Computational Complexity (cs.CC); Artificial Intelligence (cs.AI); Formal Languages and Automata Theory (cs.FL); Logic (math.LO)
Cite as: arXiv:2611.06303 [cs.CC]
  (or arXiv:2611.06303v1 [cs.CC] for this version)
  https://doi.org/10.48550/arXiv.2611.06303

arXiv-issued DOI via DataCite (pending registration)

Journal reference: S. Salishev, CYBERNETICS AND PHYSICS, VOL. 15, NO. 2, 2026, 234-242
Related DOI: https://doi.org/10.35470/2226-4116-2026-15-2-234-242

DOI(s) linking to related resources

Submission history

From: Sergey Salishev [view email]
[v1] Wed, 4 Nov 2026 10:36:39 UTC (34 KB)

来源:arXiv cs.AI · arxiv.org