Any-time knowledge revision

É. Grégoire
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Abstract

We propose and experiment a practical multi-level approach to maintain contradiction-free knowledge when some incoming additional information that can contradict the preexisting knowledge must be taken into account. The approach implements an any-time strategy that triggers successive reasoning paradigms ranging from credulous to computationally more intensive forms of skepticism about conflicting information. It makes use of recent dramatic computational progress in constraint satisfaction techniques for finite domains and Boolean-related search and reasoning.
随时复习知识
我们提出并实验了一种实用的多层次方法,当必须考虑可能与预先存在的知识相矛盾的额外信息时,该方法可以保持无矛盾的知识。该方法实现了一种随时触发连续推理范式的策略,从轻信到计算上更密集的对冲突信息的怀疑形式。它利用了最近在有限域的约束满足技术和布尔相关搜索和推理方面取得的巨大计算进展。
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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