A Logic of East and West

IF 4.5 3区 计算机科学 Q2 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Journal of Artificial Intelligence Research Pub Date : 2023-02-28 DOI:10.1613/jair.1.14113
H. Du, N. Alechina, Amin Farjudian, B. Logan, Can Zhou, A. Cohn
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Abstract

We propose a logic of east and west (LEW ) for points in 1D Euclidean space. It formalises primitive direction relations: east (E), west (W) and indeterminate east/west (Iew). It has a parameter τ ∈ N>1, which is referred to as the level of indeterminacy in directions. For every τ ∈ N>1, we provide a sound and complete axiomatisation of LEW , and prove that its satisfiability problem is NP-complete. In addition, we show that the finite axiomatisability of LEW depends on τ : if τ = 2 or τ = 3, then there exists a finite sound and complete axiomatisation; if τ > 3, then the logic is not finitely axiomatisable. LEW can be easily extended to higher-dimensional Euclidean spaces. Extending LEW to 2D Euclidean space makes it suitable for reasoning about not perfectly aligned representations of the same spatial objects in different datasets, for example, in crowd-sourced digital maps.
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东西方的逻辑
提出了一维欧几里德空间中点的东西逻辑(LEW)。它形式化了原始的方向关系:东(E),西(W)和不确定的东/西(视图)。它有一个参数τ∈N>1,称为方向上的不确定性水平。对于每一个τ∈N>1,我们给出了LEW的一个完备的公理化,并证明了其可满足性问题是np完全的。此外,我们证明了LEW的有限公理化依赖于τ:如果τ = 2或τ = 3,则存在有限健全和完全公理化;如果τ > 3,则逻辑不是有限公理化的。LEW可以很容易地扩展到高维欧几里德空间。将LEW扩展到二维欧几里得空间,使其适合于推理不同数据集中相同空间对象的不完全对齐表示,例如,在众包数字地图中。
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来源期刊
Journal of Artificial Intelligence Research
Journal of Artificial Intelligence Research 工程技术-计算机:人工智能
CiteScore
9.60
自引率
4.00%
发文量
98
审稿时长
4 months
期刊介绍: JAIR(ISSN 1076 - 9757) covers all areas of artificial intelligence (AI), publishing refereed research articles, survey articles, and technical notes. Established in 1993 as one of the first electronic scientific journals, JAIR is indexed by INSPEC, Science Citation Index, and MathSciNet. JAIR reviews papers within approximately three months of submission and publishes accepted articles on the internet immediately upon receiving the final versions. JAIR articles are published for free distribution on the internet by the AI Access Foundation, and for purchase in bound volumes by AAAI Press.
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