有限自动机中活动状态的数目

IF 0.4 4区 计算机科学 Q4 COMPUTER SCIENCE, INFORMATION SYSTEMS
Henning Bordihn, Markus Holzer
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引用次数: 0

摘要

我们在有限自动机上引入了一种新的描述复杂性度量,称为活动状态数。粗略地说,输入w上的自动机A的活动状态的数量计数在自动机A对单词w进行最经济的计算期间访问的不同状态的数量。这个概念以一种直接的方式推广到有限自动机和正则语言。我们证明了有限自动机和正则语言的活动状态的数量都是可计算的,即使对于不确定的有限自动机也是如此。我们进一步将活跃国家的数量与常规语言的相关衡量标准进行了比较。特别地,我们展示了与正则语言半径的不可比性,并且在正则语言的有限自动机中,活动状态的数量和所需状态的总数之间的差异可以是指数级的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

On the number of active states in finite automata

On the number of active states in finite automata

We introduce a new measure of descriptional complexity on finite automata, called the number of active states. Roughly speaking, the number of active states of an automaton A on input w counts the number of different states visited during the most economic computation of the automaton A for the word w. This concept generalizes to finite automata and regular languages in a straightforward way. We show that the number of active states of both finite automata and regular languages is computable, even with respect to nondeterministic finite automata. We further compare the number of active states to related measures for regular languages. In particular, we show incomparability to the radius of regular languages and that the difference between the number of active states and the total number of states needed in finite automata for a regular language can be of exponential order.

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来源期刊
Acta Informatica
Acta Informatica 工程技术-计算机:信息系统
CiteScore
2.40
自引率
16.70%
发文量
24
审稿时长
>12 weeks
期刊介绍: Acta Informatica provides international dissemination of articles on formal methods for the design and analysis of programs, computing systems and information structures, as well as related fields of Theoretical Computer Science such as Automata Theory, Logic in Computer Science, and Algorithmics. Topics of interest include: • semantics of programming languages • models and modeling languages for concurrent, distributed, reactive and mobile systems • models and modeling languages for timed, hybrid and probabilistic systems • specification, program analysis and verification • model checking and theorem proving • modal, temporal, first- and higher-order logics, and their variants • constraint logic, SAT/SMT-solving techniques • theoretical aspects of databases, semi-structured data and finite model theory • theoretical aspects of artificial intelligence, knowledge representation, description logic • automata theory, formal languages, term and graph rewriting • game-based models, synthesis • type theory, typed calculi • algebraic, coalgebraic and categorical methods • formal aspects of performance, dependability and reliability analysis • foundations of information and network security • parallel, distributed and randomized algorithms • design and analysis of algorithms • foundations of network and communication protocols.
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