Plan Debugging in an Intentional System
Abstract
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.
Cite
Text
Collins et al. "Plan Debugging in an Intentional System." International Joint Conference on Artificial Intelligence, 1991.Markdown
[Collins et al. "Plan Debugging in an Intentional System." International Joint Conference on Artificial Intelligence, 1991.](https://mlanthology.org/ijcai/1991/collins1991ijcai-plan/)BibTeX
@inproceedings{collins1991ijcai-plan,
title = {{Plan Debugging in an Intentional System}},
author = {Collins, Gregg and Birnbaum, Lawrence and Krulwich, Bruce and Freed, Michael},
booktitle = {International Joint Conference on Artificial Intelligence},
year = {1991},
pages = {353-359},
url = {https://mlanthology.org/ijcai/1991/collins1991ijcai-plan/}
}