Directions in uncertainty reasoning

被引:1
|
作者
Neufeld, E [1 ]
机构
[1] Univ Saskatchewan, Dept Comp Sci, Saskatoon, SK S7N 5AS, Canada
来源
KNOWLEDGE ENGINEERING REVIEW | 1997年 / 12卷 / 04期
关键词
D O I
10.1017/S0269888997004037
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Uncertainty reasoning refers in a general way to problems discussed by that subset of the artificial intelligence community interested in representing and reasoning with knowledge that cannot be expressed as certainties. The problems discussed range from fundamental philosophical inquiry into the nature of uncertainty and how it can be measured and modeled, to practical performance issues arising from the (automatic) construction of real-world models and making inferences of such models.
引用
收藏
页码:413 / 415
页数:3
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