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Об одном надклассе a-грамматик

Об одном надклассе a-грамматик

Abstract

В статье рассматривается класс грамматик, допускающих представление правил порождения при помощи алгоритмов нахождения маршрутов на графах. Дается определение граф-порожденной грамматики или G-грамматики (над алфавитом A ) в терминах семейств маршрутов на вершинно размеченных графах. В отличие от графовых грамматик, которые применяются для описания динамики графовых структур, G-грамматики, напротив, используют граф-отношения в качестве средства представления формальных языков. Приводится алгоритм построения G-грамматики, порождающей язык, распознаваемый детерминированным конечным автоматом. Показывается, что класс языков, порождаемых G-грамматиками, является строгим надмножеством регулярных языков.

In this paper we consider a superclass of automaton grammars that can be represented in terms of paths on graphs. With this approach, we assume that vertices of graph are labeled by symbols of finite alphabet A. We will call such grammars graph-generated grammars or G-grammars. In contrast to the graph grammars that are used to describe graph structure transformations, G-grammars using a graphs as a means of representing formal languages. We will give an algorithm for constructing G-grammar which generate the language recognized by deterministic finite automaton. Moreover, we will show that the class of languages generated by G-grammars is a proper superset of regular languages.

Keywords

ФОРМАЛЬНЫЕ ЯЗЫКИ,ФОРМАЛЬНЫЕ ГРАММАТИКИ,ПОРОЖДАЮЩИЕ ГРАММАТИКИ,ТЕОРИЯ АВТОМАТОВ,ТЕОРИЯ ГРАФОВ,МАРШРУТЫ НА ГРАФАХ,РАЗМЕЧЕННЫЕ ГРАФЫ,ГРАФ-ПОРОЖДЕННЫЕ ГРАММАТИКИ

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
bronze