A multi-agent system for acquiring and sharing lessons learned

This paper presents a multi-agent system for knowledge management (KM) in research and development (R&D) projects. R&D teams have no time to organize project information, nor to articulate the rationale behind the actions that generated the information. Our aim is to provide a system for helping team members to explicit knowledge, and to allow them to share their experiences, i.e. lessons learned (LL), without asking them too much extra-work. The article focuses on how we intend to help the team members to feed the system with LL, using the operations they perform on desktop computers, and how we intend to exploit the LL by using a case-based reasoning engine. We have been developing a prototype of such a KM system for a cooperative project. (C) 2003 Elsevier B.V. All rights reserved.