Intelligent lessons learned systems

被引:81
|
作者
Weber, R
Aha, DW
Becerra-Fernandez, I
机构
[1] USN, Res Lab, Navy Ctr Appl Res AI, Washington, DC 20375 USA
[2] Univ Wyoming, Dept Comp Sci, Laramie, WY 82071 USA
[3] Florida Int Univ, Miami, FL 33199 USA
关键词
lessons learned systems; knowledge management; artificial intelligence; case-based reasoning;
D O I
10.1016/S0957-4174(00)00046-4
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Lessons learned processes have been deployed in commercial, government, and military organizations since the late 1980s to capture, store, disseminate, and share experiential working knowledge. However, recent studies have shown that software systems for supporting lesson dissemination do not effectively promote knowledge sharing. We found that the problems with these systems are related to their textual representation for lessons and that they are not incorporated into the processes they are intended to support. In this article, we survey lessons learned processes and systems, detail their capabilities and limitations, examine lessons learned system design issues, and identify how artificial intelligence technologies can contribute to knowledge management solutions for these systems. (C) 2001 Elsevier Science Ltd. All rights reserved.
引用
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页码:17 / 34
页数:18
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