摘要
Model-based knowledge acquisition is discussed and a paradigm is presented in this paper. Automatic acquisition of production rules of diagnostic expert systems is taken as examples. According to this paradigm,deep domain knowledge is represented by multivariate belief functions, while causes are obtained via abduction with uncertainties given by belief functions. This paradigm deserves robustness and nonmonotonicity.
Model-based knowledge acquisition is discussed and a paradigm is presented in this paper. Automatic acquisition of production rules of diagnostic expert systems is taken as examples. According to this paradigm,deep domain knowledge is represented by multivariate belief functions, while causes are obtained via abduction with uncertainties given by belief functions. This paradigm deserves robustness and nonmonotonicity.
出处
《计算机科学》
CSCD
北大核心
1994年第5期45-47,63,共4页
Computer Science
基金
攀登计划资助
关键词
知识获取
知识工程
知识获取范式
Knowledge acquisition,Beleif function ,Uncertainty.
