On decision problems concerning contextual insertions and deletions

IF 0.9 4区 计算机科学 Q3 COMPUTER SCIENCE, THEORY & METHODS Theoretical Computer Science Pub Date : 2024-10-18 DOI:10.1016/j.tcs.2024.114905
Oscar H. Ibarra , Ian McQuillan
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Abstract

The notions of stability, anti-stability, and error-correctability of a language that is modified by making contextual insertions in the words of the language were introduced in a previous paper by Bottoni et al. in 2011, where it was shown that these properties are decidable for regular languages. The authors proposed investigating the decidability of these properties for other classes of languages. Here, we derive necessary and sufficient conditions for a class of languages to have decidable stable, anti-stable, and error-correctable properties, and use these conditions to exhibit general classes of languages (strictly greater than the regular languages) for which the properties are decidable, and also simple classes (the first such classes) for which the properties are undecidable. We obtain identical results for the case when contextual deletions (instead of insertions) are made in the words of the language, and also with mixes of insertions and deletions. Our constructions also demonstrate that certain general problems involving nondeterministic generalized sequential machines (GSMs) applied to languages accepted by deterministic machine models are decidable, which is surprising as the deterministic language families do not need to be closed under GSM mappings.
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关于上下文插入和删除的决策问题
博托尼等人在 2011 年发表的一篇论文中介绍了通过在语言单词中插入上下文来修改语言的稳定性、反稳定性和可纠错性等概念。作者提议研究这些特性对于其他语言类别的可解性。在此,我们推导出一类语言具有可判定的稳定、反稳定和纠错属性的必要条件和充分条件,并利用这些条件展示了这些属性可判定的一般语言类(严格大于常规语言),以及这些属性不可判定的简单语言类(第一类)。对于在语言的词语中进行上下文删除(而不是插入)的情况,以及插入和删除混合的情况,我们也得到了相同的结果。我们的构造还证明,某些涉及应用于确定性机器模型所接受的语言的非确定性广义序列机器(GSM)的一般问题是可解的,这令人惊讶,因为确定性语系并不需要在 GSM 映射下是封闭的。
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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来源期刊
Theoretical Computer Science
Theoretical Computer Science 工程技术-计算机:理论方法
CiteScore
2.60
自引率
18.20%
发文量
471
审稿时长
12.6 months
期刊介绍: Theoretical Computer Science is mathematical and abstract in spirit, but it derives its motivation from practical and everyday computation. Its aim is to understand the nature of computation and, as a consequence of this understanding, provide more efficient methodologies. All papers introducing or studying mathematical, logic and formal concepts and methods are welcome, provided that their motivation is clearly drawn from the field of computing.
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