Knowledge discovery mechanism based on generalized inductive logic causal model

被引：0
|
作者：
Yang, B [1 ]
Li, Y [1 ]
Liang, YT [1 ]
机构：
[1] Dept Comp Engn & Sci, Beijing 100083, Peoples R China
来源：
FUSION'98: PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON MULTISOURCE-MULTISENSOR INFORMATION FUSION, VOLS 1 AND 2 | 1998年
关键词：
generalized cell automaton; generalized inductive logic causal model; language field; induction acquisition;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Generalized cell Automaton that can synthetically deal with random indeterminacy, fuzzy indeterminacy and corresponding generalized inductive logic causal model are advanced in this paper, which is based on cell automaton (belonging to inductive probability logic scope) that is constructed by A. W: Burks and describes causal world. And through the correspondence of casual disturbance the valid way to the automatic acquisition of expert knowledge is provided and some rules are set forward. And have found its application in intelligence control.
引用
收藏
页码：124 / 130
页数：7
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