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ABOUT THE INCREMENTAL VALIDATION OF FIRST-ORDER STRATIFIED KNOWLEDGE-BASED DECISION-SUPPORT SYSTEMS

机译:关于一阶分层基于知识的决策支持系统的增量验证

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In this paper, a new efficient technique is introduced to check the logical consistency of first-order stratified knowledge-based decision-support systems (KBs). It is based on a progressive instantiation schema that enables us to benefit from the power of local search techniques for propositional satisfiability and search. It combines a knowledge preference pre-ordering with a concept of depth-limited reasoning. An algorithm that proves efficient very often is proposed. It delivers a good approximation of Benferhat et al.'s preferred maximal inclusion-based consistent sub-bases.
机译:在本文中,引入了一种新的高效技术来检查一阶分层知识的决策支持系统(KBS)的逻辑一致性。它基于逐行实例化模式,使我们能够从本地搜索技术的力量受益,以便命题可靠性和搜索。它结合了知识偏好预先订购,具有深度限制的概念。提出了一种经常证明有效的算法。它提供了良好的近似的Benferhat等人。优选的最大包含基于含量的一致子基础。

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