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Nearness Rules and Scaled Proximity

机译:近乎规则和缩放接近度

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An artificial intelligence system that processes geo-thematic data would profit from a (semi-)formal or controlled natural language interface that incorporates concepts for nearness. Though there already exists logical-engineering approaches giving sufficient conditions for nearness relations, we show within a logical analysis that these suffer from some deficiencies. Non-engineering approaches to nearness such as the abstract mathematical approach based on proximity spaces do not deal with the implementation aspects but axiomatically formalize intuitions on nearness relations and provide insights on their nature. Combining the ideas of the engineering approach with the mathematical approach of proximity spaces, we define and analyze new nearness relations that provide a good compromise between implementation needs and the need for an appropriate approximation of the natural nearness concept.
机译:处理地理专题数据的人工智能系统将从(半)正式或受控的自然语言界面中获利,该界面包含近乎近的概念。虽然已经存在逻辑工程方法,为近乎关系提供足够的条件,但我们在逻辑分析中显示出这些缺陷的逻辑分析。基于邻近空间的抽象数学方法如近距离的非工程方法不处理实施方面,而是公正地将直觉正式化在近乎关系上,并为其性质提供见解。将工程方法的思想与邻近空间的数学方法相结合,我们定义和分析了新的近似关系,在实现需求与适当近似自然近似概念之间提供了良好的折衷。

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