|
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)
|
Items in iDEA are protected by copyright, with all rights reserved, unless otherwise indicated.
|
www.drexel.edu
