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Repairing Non-monotonic Knowledge Bases

机译:修复非单调知识库

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摘要

Minimal inconsistent subsets of knowledge bases in monotonic logics play an important role when investigating the reasons for conflicts and trying to handle them. In the context of non-monotonic reasoning this notion is not as meaningful due to the possibility of resolving conflicts by adding information. In this paper we investigate inconsistency in non-monotonic logics while taking this issue into account. In particular, we show that the well-known classical duality between hitting sets of minimal inconsistent subsets and maximal consistent subsets generalizes to arbitrary logics even if we allow adding novel information to a given knowledge base. We illustrate the versatility of the main theorems by covering more sophisticated situations and demonstrate how to utilize our results to analyze inconsistency in abstract argumentation.
机译:单调逻辑中知识库的最小不一致的子集在调查冲突的原因并试图处理它们时发挥着重要作用。在非单调的推理的背景下,由于通过添加信息解决冲突而没有,这种概念并不那么有意义。在本文中,我们考虑到了这个问题时调查非单调逻辑的不一致。特别是,我们表明,即使我们允许将新颖的信息添加到给定的知识库,即使我们允许将新信息添加到给定的知识库,也可以将众所周知的逻辑与最大的一致性子集之间的众所周知的经典二元性推广到任意逻辑。我们通过涵盖更复杂的情况并展示如何利用我们的结果来分析抽象论证中的不一致性来说明主要定理的多功能性。

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