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A Tableau-Based System for Spatial Reasoning about Directional Relations

机译:基于Tableau的空间推理系统的方向关系

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The management of qualitative spatial information is an important research area in computer science and AI. Modal logic provides a natural framework for the formalization and implementation of qualitative spatial reasoning. Unfortunately, when directional relations are considered, modal logic systems for spatial reasoning usually turn out to be undecidable (often even not recursively enumerable). In this paper, we give a first example of a decidable modal logic for spatial reasoning with directional relations, called Weak Spatial Propositional Neighborhood Logic (WSpPNL for short). WSpPNL features two modalities, respectively an east modality and a north modality, to deal with non-empty rectangles over N×N. We first show the NEXPTIME-completeness of WSpPNL, then we develop an optimal tableau method for it.
机译:定性空间信息管理是计算机科学和AI的重要研究领域。模态逻辑为定性空间推理的形式化和实施提供了自然框架。遗憾的是,当考虑定向关系时,用于空间推理的模态逻辑系统通常会出现不可识别(通常甚至不归因于不令人享受)。在本文中,我们给出了具有定向关系的空间推理的可判定模态逻辑的第一示例,称为弱空间命题邻域逻辑(WSPPNL短暂)。 WSPPNL分别具有两种方式,分别是东方模式和北方模型,以处理非空矩形在n×n上。我们首先展示WSPPNL的内部完整性,然后我们开发了最佳的Tableau方法。

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