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Weighted automata and logics for infinite nested words

机译:加权自动机和无限嵌套词的逻辑

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摘要

Nested words introduced by Aiur and Madhusudan are used to capture structures with both linear and hierarchical order, e.g. XML documents, without losing valuable closure properties. Furthermore, Alur and Madhusudan introduced automata and equivalent logics for both finite and infinite nested words, thus extending Buchi's theorem to nested words. Recently, average and discounted computations of weights in quantitative systems found much interest. Here, we will introduce and investigate weighted automata models and weighted MSO logics for infinite nested words. As weight structures we consider valuation monoids which incorporate average and discounted computations of weights as well as the classical semirings. We show that under suitable assumptions, two resp. three fragments of our weighted logics can be transformed into each other. Moreover, we show that the logic fragments have the same expressive power as weighted nested word automata.
机译:由Aiur和Madhusudan引入的嵌套单词用于捕获具有线性和层次顺序的结构,例如XML文档,而不会丢失有价值的闭包属性。此外,Alur和Madhusudan引入了针对有限和无限嵌套单词的自动机和等效逻辑,从而将Buchi定理扩展到了嵌套单词。最近,在定量系统中权重的平均和折扣计算引起了人们的极大兴趣。在这里,我们将介绍和研究无限嵌套词的加权自动机模型和加权MSO逻辑。作为权重结构,我们考虑结合了权重的平均和折现计算以及经典半环的估值类四面体。我们表明,在适当的假设下,有两个响应。我们加权逻辑的三个片段可以相互转换。此外,我们证明了逻辑片段具有与加权嵌套单词自动机相同的表达能力。

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