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引用次数: 6

摘要

加权自动机是有限自动机的一种保守的定量扩展,在语言处理和语音识别等领域有着广泛的应用。然而,它们的表达能力似乎是有限的,特别是当它们被应用于比文字更一般的结构时,比如图表。为了解决这个缺点,加权自动机最近被推广到加权卵石行走自动机,这被证明是一种有用的工具,用于规范和评估词和嵌套词的定量特性。在本文中,我们用传递闭包逻辑建立了加权卵石行走自动机的表达能力,将Engelfriet和Hoogeboom的类似结果从布尔情况提升到定量设置。这个结果适用于图的一般类,包括前面提到的所有类。
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Logical characterization of weighted pebble walking automata
Weighted automata are a conservative quantitative extension of finite automata that enjoys applications, e.g., in language processing and speech recognition. Their expressive power, however, appears to be limited, especially when they are applied to more general structures than words, such as graphs. To address this drawback, weighted automata have recently been generalized to weighted pebble walking automata, which proved useful as a tool for the specification and evaluation of quantitative properties over words and nested words. In this paper, we establish the expressive power of weighted pebble walking automata in terms of transitive closure logic, lifting a similar result by Engelfriet and Hoogeboom from the Boolean case to a quantitative setting. This result applies to general classes of graphs, including all the aforementioned classes.
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