Representing periodic temporal information with automata

P. Wolper
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引用次数: 1

Abstract

Motivated by issues in temporal databases and in the verification of infinite-state systems, this talk considers the problem of representing periodic dense time information. Doing so requires handling a theory that combines discrete and continuous variables, since discrete variables are essential for representing periodicity. An automata-based approach for dealing with such a combined theory is thus introduced. This approach uses the fact that real numbers can be represented by infinite sequences of digits and hence that sets of real numbers can be viewed as infinite-word languages, which can be recognized by infinite-word finite automata. Since these automata can represent all linear constraints, can express intergerhood, and are closed under the firstorder constructs, the presented approach can handle the full first-order theory of linear constraints over the reals and integers. One problem with using infinite-word automata is that the algorithms for complementing them are especially complicated and difficult to implement effectively. Fortunately, with the help of topological arguments it can be shown that a very restricted and much more tractable class of infiniteword automata are sufficient for the purpose on hand. Background information on the topics presented in this talk can be found in [1, 2, 3, 4].
用自动机表示周期性时间信息
受时间数据库和无限状态系统验证问题的启发,本演讲考虑了表示周期密集时间信息的问题。这样做需要处理一个结合离散变量和连续变量的理论,因为离散变量对于表示周期性是必不可少的。因此,介绍了一种基于自动机的方法来处理这种组合理论。这种方法利用了这样一个事实:实数可以用无限的数字序列来表示,因此实数集可以被看作是无限词语言,它可以被无限词有限自动机识别。由于这些自动机可以表示所有的线性约束,可以表示互性,并且在一阶结构下是封闭的,因此所提出的方法可以处理实数和整数上的线性约束的完整一阶理论。使用无限词自动机的一个问题是补充它们的算法特别复杂,难以有效地实现。幸运的是,在拓扑论证的帮助下,可以证明一种非常有限的、更容易处理的无限词自动机类足以满足手头的目的。关于本次演讲主题的背景信息可以在[1,2,3,4]中找到。
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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