Book chapter
An Intelligent Lessons Learned Process
Foundations of Intelligent Systems, pp 358-367
02 Jul 2002
Abstract
A learned lesson, in the context of a pre-defined organizational process, summarizes an experience that should be used to modify that process, under the conditions for which that lesson applies. To promote lesson reuse, many organizations employ lessons learned processes, which define how to collect, validate, store, and disseminate lessons among their personnel, typically by using a standalone retrieval tool. However, these processes are problematic: they do not address lesson reuse effectively. We demonstrate how reuse can be facilitated through a representation that highlights reuse conditions (and other features) in the context of lessons learned systems embedded in targeted decision-making processes. We describe a case-based reasoning implementation of this concept for a decision support tool and detail an example.
Metrics
7 Record Views
Details
- Title
- An Intelligent Lessons Learned Process
- Creators
- Rosina Weber - University of WyomingDavid W Aha - Navy Center for Applied Research in Artificial IntelligenceHector Muñoz-ávila - University of Maryland, College ParkLeonard A Breslow - Naval Research Laboratory (Code 5515), Navy Center for Applied Research in Artificial Intelligence, Washington
- Publication Details
- Foundations of Intelligent Systems, pp 358-367
- Series
- Lecture Notes in Computer Science
- Publisher
- Springer Berlin Heidelberg; Berlin, Heidelberg
- Resource Type
- Book chapter
- Language
- English
- Academic Unit
- Information Science
- Other Identifier
- 991019238636504721