Verification of Causality in the Frame System based on the Topological Functioning Modelling

Vladislavs Nazaruks, J. Osis
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引用次数: 5

Abstract

Causality is universal relations among phenomena (states, facts, elements, functions) in the system. Verification of causality in the knowledge frame system based on principles of the topological functioning modelling can help in discovering inconsistencies such as incompleteness, ambiguity or contradictions in knowledge on system’s functioning. The method for such verification is presented in this paper. It is based on topological and functioning properties of the topological functioning model including the definition of continuous mapping between topological spaces. The method helps in discovering inconsistent combinations of cause-and-effect relations or a lack of them. Functional characteristics of the system involved in these relations are marked as doubtful. The results of verification require additional investigation by a software developer. A use of the proposed method can lead to more thorough system analysis before development of the solution.
基于拓扑功能建模的框架系统因果关系验证
因果关系是系统中现象(状态、事实、要素、功能)之间的普遍关系。基于拓扑功能建模原理对知识框架系统中的因果关系进行验证,有助于发现知识在系统功能上的不完全性、模糊性或矛盾等不一致之处。本文给出了这种验证的方法。它基于拓扑功能模型的拓扑和功能特性,包括拓扑空间间连续映射的定义。这种方法有助于发现因果关系的不一致组合或因果关系的缺失。这些关系所涉及的系统的功能特征被标记为可疑。验证的结果需要软件开发人员进行额外的调查。使用建议的方法可以在开发解决方案之前进行更彻底的系统分析。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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