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An algebraic approach for detecting nearly dangerous situations in expert systems

机译:一种用于检测专家系统中几乎危险情况的代数方法

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The aim of this work is to present theoretically a new algebraic method for detecting nearly dangerous states in an expert system whose knowledge is represented by prepositional Boolean logic. Given a dangerous state which does not happen at present, our method is able to detect if a dangerous situation would happen if an input variable of the Expert System changed. The method presented here is based on calculating just one Groebner basis of a polynomial ideal representing the system knowledge. In this way, although the Expert System is designed to notify only dangerous situations, we have developed an algebraic model for including in the expert system the ability to recommend watching carefully some Boolean variables such that if one of them changed, the system would fall in a dangerous situation. In this way, the same expert system not only warns about dangerous situations but also about nearly dangerous situations. It may be noted that our method does not require to change the Expert System for including this facility. As far as our knowledge goes, our work is completely new in the field of Expert Systems.
机译:这项工作的目的是从理论上提出一种新的代数方法,用于在专家系统中检测几乎危险的状态,该专家系统的知识由介词布尔逻辑表示。给定当前没有发生的危险状态,我们的方法能够检测到如果更改专家系统的输入变量是否会发生危险情况。此处介绍的方法基于仅计算代表系统知识的多项式理想的一个Groebner基。这样,尽管专家系统旨在仅通知危险情况,但我们已经开发了一种代数模型,以便在专家系统中包括建议仔细观​​察一些布尔变量的能力,这样,如果其中一个变量发生更改,系统就会掉入危险的情况。这样,同一专家系统不仅可以警告危险情况,还可以警告接近危险的情况。可能需要注意的是,我们的方法不需要更改专家系统以包括此功能。据我们所知,我们的工作在专家系统领域是全新的。

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