Ontology-based inference for causal explanation

被引:0
|
作者
Besnard, Ph. [1 ]
Cordier, M. -O. [2 ]
Moinard, Y. [2 ]
机构
[1] Univ Toulouse 3, CNRS, IRIT, 118 Route Narbonne, F-31062 Toulouse, France
[2] Univ Rennes 1, INRIA, IRISA, F-35042 Rennes, France
关键词
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
We define an inference system to capture explanations based on causal statements, using an ontology in the form of an IS-A hierarchy. We first introduce a simple logical language which makes it possible to express that a fact causes another fact and that a fact explains another fact. We present a set of formal inference patterns from causal statements to explanation statements. These patterns exhibit ontological premises that are argued to be essential in deducing explanation statements. We provide an inference system, that captures the patterns discussed.
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页码:153 / +
页数:2
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