Learning Plans for an Intelligent Assistant by Observing User Behavior
A critical requirement of intelligent automated assistants is a representation of actions and goals that is common to both the user and the automated assistant. Updating the intelligent system's knowledge base by observing user behavior is a convenient method for acquiring this common representation. We are developing an explanation based learning system to automate the acquisition of new plans for a large pilot-aiding expert system. We have developed a planning/learning shell that is based on the TWEAK planning system and DeJong's explanation based learning system. We are applying this shell to the pilot-aiding problem in a joint industry/university research effort involving Honeywell, Lockheed, ISX, Search Technology, and the Universities of Illinois and Michigan.
Levi, K. R.,
Shalin, V. L.,
& Perschbacher, D. L.
(1990). Learning Plans for an Intelligent Assistant by Observing User Behavior. International Journal of Man-Machine Studies, 33 (5), 489-503.