A knowledge-based modeling system for time-critical dynamic decision-making

被引:0
|
作者
Xiang, Yanping [1 ]
Poh, Kim-Leng [1 ]
机构
[1] Natl Univ Singapore, Dept Ind & Syst Engn, Singapore 119260, Singapore
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
Knowledge-based model construction approach has been applied to many problems. Previous research doesn't provide an approach to construct models to deal with time-critical dynamic decision problems. This paper presents a Knowledge-based Time-critical Dynamic Decision Modeling system (KTDDM) for time-critical dynamic decision-making. The system architecture and functional modules are described. A new knowledge representation framework is provided to support the whole model construction process. This paper applies the KTDDM system prototype to construct a decision model for the time-critical dynamic medical problem on cardiac arrest to demonstrate the effectiveness of this approach.
引用
收藏
页码:212 / 221
页数:10
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