Asymptotic Proportion of Hard Instances of the Halting Problem

A. Valmari
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引用次数: 2

Abstract

Although the halting problem is undecidable, imperfect testers that fail on some instances are possible. Such instances are called hard for the tester. One variant of imperfect testers replies "I don't know" on hard instances, another variant fails to halt, and yet another replies incorrectly "yes" or "no". Also the halting problem has three variants: does a given program halt on the empty input, does a given program halt when given itself as its input, or does a given program halt on a given input. The failure rate of a tester for some size is the proportion of hard instances among all instances of that size. This publication investigates the behaviour of the failure rate as the size grows without limit. Earlier results are surveyed and new results are proven. Some of them use C++ on Linux as the computational model. It turns out that the behaviour is sensitive to the details of the programming language or computational model, but in many cases it is possible to prove that the proportion of hard instances does not vanish.
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暂停问题难实例的渐近比例
虽然暂停问题是无法确定的,但不完美的测试器在某些情况下失败是可能的。这样的实例对测试人员来说是困难的。不完美测试者的一种变体在困难的情况下回答“我不知道”,另一种变体无法停止测试,还有一种变体错误地回答“是”或“否”。暂停问题也有三种变体:给定程序是否在空输入时停止,给定程序是否在给定自身作为其输入时停止,或者给定程序是否在给定输入时停止。对于某种大小的测试器的失败率是该大小的所有实例中硬实例的比例。本出版物调查了失效率的行为,随着尺寸无限制地增长。对先前的结果进行调查,并对新的结果进行验证。其中一些使用Linux上的c++作为计算模型。事实证明,行为对编程语言或计算模型的细节很敏感,但在许多情况下,有可能证明硬实例的比例并没有消失。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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