Intelligent Lessons Learned Systems
Papers from the AAAI Workshop
David W. Aha and Rosina Weber, Cochairs
Lessons learned (LL) systems capture and store experiential knowledge for reuse in subsequent decision-making tasks. This is a central focus of knowledge management (KM) efforts in government and commercial organizations, and many systems for lessons learned (and related) systems are maintained on the WWW or intranets. Several open AI research issues (such as knowledge representation) exist concerning the development, evaluation, and deployment of these types of systems. This motivates the need for more dialogue among AI and KM researchers, and with developers of LL and similar systems, to identify existing approaches, explain their limitations, and suggest AI techniques for improving their utility.