Enhancing QPNs for trade-off resolution

被引:0
|
作者
Renooij, S [1 ]
van der Gaag, LC [1 ]
机构
[1] Univ Utrecht, Dept Comp Sci, NL-3508 TB Utrecht, Netherlands
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
Qualitative probabilistic networks have been introduced as qualitative abstractions of Bayesian belief networks. One of the major drawbacks of these qualitative networks is their coarse level of detail, which may lead to unresolved trade-offs during inference. We present an enhanced formalism for qualitative networks with a finer level of detail. An enhanced qualitative probabilistic network differs from a regular qualitative network in that it distinguishes between strong and weak influences. Enhanced qualitative probabilistic networks are purely qualitative in nature, as regular qualitative networks are, yet allow for efficiently resolving trade-offs during inference.
引用
收藏
页码:559 / 566
页数:8
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