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Bridging the lesson distribution gap
Please use this identifier to cite or link to this item:
http://hdl.handle.net/1860/2038
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| Title: | Bridging the lesson distribution gap |
| Authors: | Aha, David
Weber, Rosina O.
Muñoz-Avila, Héctor
Breslow, Leonard
Gupta, Kalyan Moy |
| Issue Date: | Aug-2001 |
| Publisher: | Elsevier |
| Citation: | Paper presented at The 17th International Joint Conference on Artificial Intelligence, IJCAI 2001, Seattle, WA: pp. 987-992. |
| Abstract: | Many organizations employ lessons learned (LL)
processes to collect, analyze, store, and distribute,
validated experiential knowledge (lessons) of their
members that, when reused, can substantially improve
organizational decision processes. Unfortunately,
deployed LL systems do not facilitate lesson reuse and
fail to bring lessons to the attention of the users when
and where they are needed and applicable (i.e., they
fail to bridge the lesson distribution gap). Our
approach for solving this problem, named monitored
distribution, tightly integrates lesson distribution with
these decision processes. We describe a case-based
implementation of monitored distribution (ALDS) in a
plan authoring tool suite (HICAP). We evaluate its
utility in a simulated military planning domain. Our
results show that monitored distribution can
significantly improve plan evaluation measures for this
domain. |
| URI: | http://hdl.handle.net/1860/2038 |
| Appears in Collections: | Faculty Research and Publications (IST)
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