Measuring Disagreement in Argumentation Graphs

被引：2
|
作者：
Amgoud, Leila [1 ]
Ben-Naim, Jonathan [1 ]
机构：
[1] CNRS, IRIT, Toulouse, France
来源：
SCALABLE UNCERTAINTY MANAGEMENT (SUM 2017) | 2017年 / 10564卷
关键词：
D O I：
10.1007/978-3-319-67582-4_15
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
The aim of this paper is to evaluate to what extent an argumentation graph (a set of arguments and attacks between them) is conflicting. For that purpose, we introduce the novel notion of disagreement measure as well as a set of principles that such a measure should satisfy. We propose some intuitive measures and show that they fail to satisfy some of the principles. Then, we come up with a more discriminating measure which satisfies them all. Finally, we relate some measures to those quantifying inconsistency in knowledge bases.
引用
收藏
页码：208 / 222
页数：15
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