Algebraic Operations on Flexible Constraints Based on Knowledge Comparison

Z. Ma, Jiemin Liu, Li Yan
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Abstract

Knowledge used for helping in choice processes in artificial intelligence (AI) essentially consists of sets of constraints. Flexible constraints are extensively studied and have become attractive in AI. In this paper, we focus on algebraic operations on flexible constraints, which are very useful in knowledge management (e.g., knowledge integration). For this purpose, we identify the semantic relationship between flexible constraints. On this basis, we define the operations on flexible constraints. In particular, the notion of semantic inclusion degree is introduced to flexibly assess the semantic relationship between flexible constraints.
基于知识比较的柔性约束代数运算
在人工智能(AI)中,用于帮助选择过程的知识本质上由一系列约束组成。柔性约束在人工智能中得到了广泛的研究,并成为一个有吸引力的研究方向。本文主要讨论在知识管理(如知识集成)中非常有用的柔性约束上的代数运算。为此,我们确定了灵活约束之间的语义关系。在此基础上,定义了柔性约束下的操作。特别地,引入了语义包容度的概念,灵活地评估了柔性约束之间的语义关系。
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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