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Handling Inconsistency with Preference-Based Argumentation

机译:处理基于首选项的参数不一致

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Argumentation is a promising approach for handling inconsistent knowledge bases, based on the justification of plausible conclusions by arguments. Due to inconsistency, arguments may be attacked by counterarguments. The problem is thus to evaluate the arguments in order to select the most acceptable ones. The aim of this paper is to make a bridge between the argumentation-based and the coherence-based approaches for handling inconsistency. We are particularly interested by the case where priorities between the formulas of an inconsistent knowledge base are available. For that purpose, we will use the rich preference-based argumentation framework (PAF) we have proposed in an earlier work. A rich PAF has two main advantages: i) it overcomes the limits of existing PAFs, and ii) it encodes two different roles of preferences between arguments (handling critical attacks and refining the evaluation of arguments). We show that there exist full correspondences between particular cases of these PAF and two well known coherence-based approaches, namely the preferred sub-theories and the democratic as well.
机译:基于论证的合理结论的论证,论证是一种处理不一致的知识库的有前途的方法。由于不一致,参数可能会遭到反参数的攻击。因此,问题在于评估参数以选择最可接受的参数。本文的目的是在处理争论的基于论证和基于一致性的方法之间架起一座桥梁。对于不一致的知识库的公式之间的优先级可用的情况,我们特别感兴趣。为此,我们将使用我们在较早的工作中提出的丰富的基于偏好的论证框架(PAF)。丰富的PAF具有两个主要优点:i)克服了现有PAF的限制,并且ii)编码了论点之间的偏好的两种不同角色(处理关键攻击和完善论点的评估)。我们表明,在这些PAF的特殊情况与两种众所周知的基于连贯性的方法之间存在完全的对应关系,即首选的子理论和民主的。

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