平面参数计数器自动机

IF 0.4 4区 计算机科学 Q4 COMPUTER SCIENCE, SOFTWARE ENGINEERING Fundamenta Informaticae Pub Date : 2009-04-01 DOI:10.3233/FI-2009-0044
M. Bozga, Radu Iosif, Y. Lakhnech
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引用次数: 67

摘要

本文研究了参数平面计数器自动机的可达性问题,并与整数算法的三片段可满足性问题相联系。非参数平面计数器自动机与Presburger算法之间的等价性已经由Comon和Jurski建立。我们通过引入在一种特殊图(锯齿形图)的字母上定义的有限状态自动机来简化它们的证明。这个框架允许人们也将一个控制回路的参数自动机的可达性问题表示为一个1参数线性丢芬图系统的可满足性。后一个问题用数论论证证明是可决定的。一般来说,由希尔伯特第十问题,证明了具有多个回路的参数平面计数器自动机的可达性问题是不可判定的。最后,我们研究了平面计数器自动机、整数算法和另一类重要的计算设备,即双向反转有界计数器之间的关系。
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Flat Parametric Counter Automata
In this paper we study the reachability problem for parametric flat counter automata, in relation with the satisfiability problem of three fragments of integer arithmetic. The equivalence between non-parametric flat counter automata and Presburger arithmetic has been established previously by Comon and Jurski. We simplify their proof by introducing finite state automata defined over alphabets of a special kind of graphs (zigzags). This framework allows one to express also the reachability problem for parametric automata with one control loop as the satisfiability of a 1-parametric linear Diophantine systems. The latter problem is shown to be decidable, using a number-theoretic argument. In general, the reachability problem for parametric flat counter automata with more than one loops is shown to be undecidable, by reduction from Hilbert's Tenth Problem. Finally, we study the relation between flat counter automata, integer arithmetic, and another important class of computational devices, namely the 2-way reversal bounded counter machines.
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来源期刊
Fundamenta Informaticae
Fundamenta Informaticae 工程技术-计算机:软件工程
CiteScore
2.00
自引率
0.00%
发文量
61
审稿时长
9.8 months
期刊介绍: Fundamenta Informaticae is an international journal publishing original research results in all areas of theoretical computer science. Papers are encouraged contributing: solutions by mathematical methods of problems emerging in computer science solutions of mathematical problems inspired by computer science. Topics of interest include (but are not restricted to): theory of computing, complexity theory, algorithms and data structures, computational aspects of combinatorics and graph theory, programming language theory, theoretical aspects of programming languages, computer-aided verification, computer science logic, database theory, logic programming, automated deduction, formal languages and automata theory, concurrency and distributed computing, cryptography and security, theoretical issues in artificial intelligence, machine learning, pattern recognition, algorithmic game theory, bioinformatics and computational biology, quantum computing, probabilistic methods, algebraic and categorical methods.
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