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Application of Defeasible Domain-Specific Knowledge to the Description of Gothic Cathedrals in the ARC Project

机译:在ARC项目中,将无法使用的领域特定知识应用于哥特式大教堂的描述

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The goal of the Architecture Represented Computationally (ARC) project is to build a complete system by which user input or written descriptions of Gothic cathedrals are automatically represented logically, allowing validation consistency, query-answering, and the generation of precise textual or visual descriptions. This paper will briefly cover the first major step in the implementation of this system, which is the knowledge representation and inference engine, with particular focus on the meta-programming and non-monotonicity of the application. The meta-programming allows users to define terminology, add facts, and create constraints without the need to understand Prolog. The non-monotonic knowledge representation allows the user to create rules about general concepts and conflicting rules about subsets of those concepts, from which the correct results are inferred. This ability of the ARC systems allows the user to "overgeneralize and then except," which is a basic aspect of natural description.
机译:“以建筑表示方法”(ARC)项目的目标是建立一个完整的系统,通过该系统,用户输入或哥特式大教堂的书面描述将自动逻辑地表示出来,从而实现验证一致性,查询回答以及生成精确的文本或视觉描述。本文将简要介绍该系统实现的第一步,即知识表示和推理引擎,特别着重于应用程序的元编程和非单调性。元编程允许用户定义术语,添加事实并创建约束,而无需了解Prolog。非单调知识表示允许用户创建有关一般概念的规则以及有关那些概念的子集的冲突规则,从中可以推断出正确的结果。 ARC系统的这种功能使用户可以“概括地说然后排除”,这是自然描述的基本方面。

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