Abstract
Lessons learned processes, and software systems that support them, have been developed by many organizations (e.g., all USA military branches, NASA, several Department of Energy organizations, the Construction Industry Institute). Their purpose is to promote the dissemination of knowledge gained from the experiences of an organization’s employees. Unfortunately, lessons learned systems are usually ineffective because they invariably introduce new processes when, instead, they should be embedded into the processes that they are meant to improve. We developed an embedded case-based approach for lesson dissemination and reuse that brings lessons to the attention of users rather than requiring them to fetch lessons from a standalone software tool. We demonstrate this active lessons delivery architecture in the context of HICAP, a decision support tool for plan authoring. We also show the potential of active lessons delivery to increase plan quality for a new travel domain.
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References
Aha, D.W., Becerra-Fernandez, I., Maurer, F., and Muñoz-Avila, H. (Eds.). 1999. Exploring Synergies of Knowledge Management and Case-Based Reasoning: Papers from the AAAI 1999 Workshop (Technical Report WS-99-10). Menlo Park, CA: AAAI Press.
Aha, D.W., & Weber, R. (2000). Intelligent Lessons Learned Systems: Papers from the AAAI Workshop (Technical Report WS-00-08). Menlo Park, CA: AAAI Press.
Davenport, T. H., & Prusak, L. (1998). Working knowledge: How organizations manage what they know. Boston, MA: Harvard Business School Press.
Fisher, D., Deshpande, S., & Livingston, J. (1998). Modeling the lessons learned process (Research Report 123-11). Albequerque, NM: The University of New Mexico, Department of Civil Engineering.
Johnson, C., Birnbaum, L., Bareiss, R., & Hinrichs, T. (2000). War Stories: Harnessing Organizational Memories to Support Task Performance. Intelligence, 11(1), 17–31.
Leake, D. B., Bauer, T., Maguitman, A., & Wilson, D. C. (2000). Capture, storage, and reuse of lessons about information resources: Supporting task-based information search. To appear in (Aha & Weber, 2000).
Leake, D. B. Kinley, A. (1998). Integrating CBR components within a Case-Based Planner. Papers from the 1998 Workshop on Case-Based Reasoning Integrations (80–84). Technical Report WS-98-15.
Muñoz-Avila, H., Aha, D. W., Breslow, L. A., Nau, D., & Weber, R. (2000). Integrating conversational case retrieval with generative planning. To appear in Proceedings of the Fifth European Workshop on Case-Based Reasoning. Trento, Italy: Springer.
Muñoz-Avila, H., McFarlane, D., Aha, D.W., Ballas, J., Breslow, L.A., & Nau, D. (1999). Using guidelines to constrain interactive case-based HTN planning. Proceedings of the Third International Conference on Case-Based Reasoning (pp. 288–302). Munich: Springer.
Reimer, U. (1998). Knowledge Integration for Building Organisational Memories. In: Proceedings of the Eleventh Banff Knowledge Acquisition for Knowledge-Based Systems Workshop. Banff, Canada.
Sary, C., & Mackey, W. (1995). A case-based reasoning approach for the access and reuse of lessons learned. Proceedings of the Fifth Annual International Symposium of the National Council on Systems Engineering (pp. 249–256). St. Louis, Missouri: NCOSE.
Secchi, P. (Ed.) (1999). Proceedings of Alerts and Lessons Learned: An Effective way to prevent failures and problems (Technical Report WPP-167). Noordwijk, The Netherlands: ESTEC. [http://www.estec.esa.nl/CONFANNOUN/99c06]
Secchi, P., Ciaschi, R., & Spence, D. (1999a). The ESA alert system. In (Secchi, 1999).
SELLS (1999). Proceedings of the Society for Effective Lessons Learned Sharing’s Spring Meeting. Las Vegas, NV: Unpublished. [http://www.tis.eh.doe.gov/ll/sells/proceedings399.htm]
Vandeville, J. V. & Shaikh, M. A. (1999). A structured approximate reasoning-based approach for gathering “lessons learned” information from system development projects. Systems Engineering, 2(4), 242–247.
Weber, R., Aha, D. W., & Becerra-Fernandez, I. (2000a). To appear in the International Journal of Expert Systems Research & Applications Special issue on Artificial Intelligence and Knowledge Management.
Weber, R., Aha, D. W., Branting, L. K., Lucas, J. R., & Becerra-Fernandez, I. (2000b). Active case-based reasoning for lessons delivery systems. Proceedings of the Thirteenth Annual Conference of the International Florida Artificial Intelligence Research Society (pp. 170–174). Orlando, FL: AAAI Press.
Weber, R., Aha, D. W., Munoz, H., & Breslow, L. A. (2000c). An intelligent lessons learned process. To appear in Proceedings of the Twelfth International Symposium on Methodologies for Intelligent Systems. Charlotte, NC: Springer-Verlag.
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Weber, R., Aha, D.W., Muñoz-Ávila, H., Breslow, L.A. (2000). Active Delivery for Lessons Learned Systems. In: Blanzieri, E., Portinale, L. (eds) Advances in Case-Based Reasoning. EWCBR 2000. Lecture Notes in Computer Science, vol 1898. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-44527-7_28
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DOI: https://doi.org/10.1007/3-540-44527-7_28
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