A Hypersequent Calculus with Clusters for Data Logic over Ordinals

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Abstract

We study freeze tense logic over well-founded data streams. The logic features past- and future-navigating modalities along with freeze quantifiers, which store the datum of the current position and test data (in)equality later in the formula. We introduce a decidable fragment of that logic, and present a proof system that is sound for the whole logic, and complete for this fragment. Technically, this is a hypersequent system enriched with an ordering, clusters, and annotations. The proof system is tailored for proof search, and yields an optimal complexity for validity and a small model property for our fragment.

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APA

Lick, A. (2019). A Hypersequent Calculus with Clusters for Data Logic over Ordinals. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 11714 LNAI, pp. 166–184). Springer. https://doi.org/10.1007/978-3-030-29026-9_10

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