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Representing periodic temporal information with automata

机译:代表自动机的定期时间信息

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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 first-order 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 infinite-word 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].
机译:逐时数据库中的问题和在无限状态系统的验证中激励,这谈话考虑了代表周期性密集时间信息的问题。这样做需要处理结合离散和连续变量的理论,因为离散变量对于表示周期性是必不可少的。因此引入了一种基于自动机的处理方法的方法。这种方法使用的事实是,实数可以通过无限的数字序列表示,因此可以将其集合视为无限字语言,可以通过无限字有限自动机识别。由于这些自动机可以代表所有线性约束,可以表达表示间的,并且在一阶结构下关闭,所示的方法可以在实际和整数上处理线性约束的全部一阶理论。使用无限字自动机的一个问题是,用于补充它们的算法尤其复杂且难以有效实施。幸运的是,在拓扑论证的帮助下,可以表明,非常受限制和更具易行的无限主义自动机的无限主义自动机在手头上就足够了。可以在[1,2,3,4]中找到有关此谈话中提出的主题的背景信息。

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