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arXiv 2112.02152cs.CCmath.PR
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可靠的图灵机

A reliable Turing machine

Ilir Çapuni, Peter Gács

摘要:

我们考虑一个受噪声干扰的图灵机的计算。在每一步中,动作(观察到的细胞的新状态和新内容,头部运动的方向)可以以很小的概率(独立于先前的此类事件)不同于转移函数所规定的动作。我们构造了一个通用的1-tape图灵机,对于足够低的(恒定)噪声概率执行任意大的计算。为此,需要对输入进行编码--根据其大小使用简单的代码。这项工作使用了可靠的元胞自动机熟悉的技术,并辅以一些新的技术。

英文摘要:

We consider computations of a Turing machine subjected to noise. In every step, the action (the new state and the new content of the observed cell, the direction of the head movement) can differ from that prescribed by the transition function with a small probability (independently of previous such events). We construct a universal 1-tape Turing machine that for a low enough (constant) noise probability performs arbitrarily large computations. For this unavoidably, the input needs to be encoded -- by a simple code depending on its size. The work uses a technique familiar from reliable cellular automata, complemented by some new ones.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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