Drexel University Home Pagewww.drexel.edu DREXEL UNIVERSITY LIBRARIES HOMEPAGE >>

iDEA: Drexel E-repository and Archives > Drexel Academic Community > College of Information Science and Technology > Faculty Research and Publications (IST) > Active case-based reasoning for lessons delivery systems

Please use this identifier to cite or link to this item: http://hdl.handle.net/1860/2035

Title: Active case-based reasoning for lessons delivery systems
Authors: Weber, Rosina O.
Aha, David
Branting, L. Karl
Lucas, J. Robert
Fernandez, Irma-Becerra
Issue Date: 1999
Publisher: AAAI Press
Citation: Paper presented at The 13th International Florida Artificial Intelligence Research Society Conference, FLAIRS 1999, Menlo Park, FL: pp. 170-174.
Abstract: Exploiting lessons learned is a key knowledge management (KM) task. Currently, most lessons learned systems are passive, stand-alone systems. In contrast, practical KM solutions should be active, interjecting relevant information during decision-making. We introduce an architecture for active lessons delivery systems, an instantiation of it that serves as a monitor, and illustrate it in the context of the conversational case-based plan authoring system HICAP (Muñoz-Avila et al., 1999). When users interact with HICAP, updating its domain objects, this monitor accesses a repository of lessons learned and alerts the user to the ramifications of the most relevant past experiences. We demonstrate this in the context of planning noncombatant evacuation operations.
URI: http://hdl.handle.net/1860/2035
Appears in Collections:Faculty Research and Publications (IST)

Files in This Item:

File Description SizeFormat
2006175316.pdf210 kBAdobe PDFView/Open
View Statistics

Items in iDEA are protected by copyright, with all rights reserved, unless otherwise indicated.


Valid XHTML 1.0! iDEA Software Copyright © 2002-2010  Duraspace - Feedback