Plan debugging in an intentional system
Gregg C. Collins, Lawrence A. Birnbaum, Bruce Krulwich, Michael C. Freed · 1991
We have developed a model-based approach to learning from plan failures in which an agent uses a model of itself to determine where in its planning or execution the cause of a failure lies. We believe that such an approach constitutes the most promising basis for developing learning models that are capable of deciding for themselves what needs to be learned from a given experience. In addition, such methods appear capable of learning about planning at a very abstract level, and thus of supporting the transfer of knowledge from experience in one domain or task to other domains or tasks.