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Axiomatizing Discrete Spatial Relations

机译:公理化离散空间关系

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摘要

Qualitative spatial relations are used in artificial intelligence to model commonsense notions such as regions of space overlapping, touching only at their boundaries, or being separate. In this paper we extend earlier work on qualitative relations in discrete space by presenting a bi-intuitionistic modal logic with universal modalities, called UBiSKt. This logic has a semantics in which formulae are interpreted as subgraphs. We show how a variety of qualitative spatial relations can be defined in UBiSKt. We make essential use of a sound and complete axiomatisation of the logic and an implementation of a tableau based theorem prover to establish novel properties of these spatial relations. We also explore the role of UBiSKt in expressing spatial relations at more than one level of detail. The features of the logic allow it to represent how a subgraph at a detailed level is approximated at a coarser level.
机译:定性空间关系在人工智能中用于模拟常识性概念,例如重叠,仅在其边界处接触或分离的空间区域。在本文中,我们通过提出一种具有通用模态的双直觉模态逻辑(称为UBiSKt),扩展了离散空间中定性关系的早期工作。该逻辑具有将公式解释为子图的语义。我们展示了如何在UBiSKt中定义各种定性空间关系。我们充分利用了逻辑的合理和完整的公理化,以及基于表格的定理证明者的实现,以建立这些空间关系的新颖性质。我们还探讨了UBiSKt在表达空间关系方面的作用,涉及的细节不止一个层次。该逻辑的功能使其可以表示如何在较粗略的层次上近似详细层次的子图。

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