最简单的非规则确定性上下文无关语言

P. Jančar, Jirí Síma
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引用次数: 3

摘要

我们为一类决策问题(即语言)引入了C-简单问题的新概念,而不是一个特定的约简。如果一个问题可以简化为C语言中的每个问题,那么它就是简单的C语言问题。这可以被看作是C语言中所有问题都简化为C语言难题的概念对应物。我们的具体例子是一类非规则确定性上下文无关语言(DCFL '),使用Mealy机器进行真值表约简。主要的技术结果是证明了DCFL语言l# = {01 | n≥1}是DCFL简单的,因此可以被看作是DCFL类中最简单的语言之一,在精确的意义上。DCFL ' -simple语言的概念是非平凡的:例如,语言LR = {wcw | w∈{a, b}∗}不是DCFL ' -simple。通过描述神经网络领域的一个应用(在另一篇论文中详细阐述),我们证明了在适当约简下的C-simple问题可以提供一种工具,将单个问题的已知下界结果扩展到整个问题类别。2012 ACM主题分类计算理论→语法和上下文无关语言;计算理论→问题、约简和完备性计算理论→换能器
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Simplest Non-Regular Deterministic Context-Free Language
We introduce a new notion of C-simple problems for a class C of decision problems (i.e. languages), w.r.t. a particular reduction. A problem is C-simple if it can be reduced to each problem in C. This can be viewed as a conceptual counterpart to C-hard problems to which all problems in C reduce. Our concrete example is the class of non-regular deterministic context-free languages (DCFL′), with a truth-table reduction by Mealy machines. The main technical result is a proof that the DCFL′ language L# = {01 | n ≥ 1} is DCFL′-simple, and can be thus viewed as one of the simplest languages in the class DCFL′, in a precise sense. The notion of DCFL′-simple languages is nontrivial: e.g., the language LR = {wcw | w ∈ {a, b}∗} is not DCFL′-simple. By describing an application in the area of neural networks (elaborated in another paper), we demonstrate that C-simple problems under suitable reductions can provide a tool for expanding the lower-bound results known for single problems to the whole classes of problems. 2012 ACM Subject Classification Theory of computation → Grammars and context-free languages; Theory of computation → Problems, reductions and completeness; Theory of computation → Transducers
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