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A Nivat theorem for weighted picture automata and weighted MSO logics

机译:加权图片自动机和加权MSO逻辑的NIVAT定理

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摘要

Picture languages have been investigated by several research groups. Here, we define weighted two-dimensional on-line tessellation automata (w2oTA) taking weights from a new weight structure called picture valuation monoid. The behavior of this automaton model is a picture series mapping pictures to values. As our first main result, we prove a Nivat theorem for w2oTA. It shows a connection of mappings and recognizability of certain simple series. Then, we introduce a weighted MSO logic which models average density of pictures. In the second main result, we show that w2oTA and a fragment of our weighted MSO logics are expressively equivalent. (C) 2017 Elsevier Inc. All rights reserved.
机译:几个研究组调查了图片语言。这里,我们将加权二维在线曲面细分自动机(W2OTA)从称为图片估值Monoid的新重量结构中获取重量。此自动机模型的行为是映射到值的图片系列映射图片。作为我们的第一个主要结果,我们证明了W2OTA的NIVAT定理。它显示了映射的连接和某些简单系列的识别性。然后,我们介绍了一种重量的MSO逻辑,其模拟了平均照片密度。在第二个主要结果中,我们表明W2OTA和我们加权MSO逻辑的片段是表现相当的。 (c)2017年Elsevier Inc.保留所有权利。

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