An Enhancer for Reactive Plans
Abstract
This paper describes our method for improving the comprehensibility, accuracy, and generality of reactive plans. A reactive plan is a set of reactive rules. Our method involves two phases: (1) formulate explanations of execution traces, and then (2) generate new reactive rules from the explanations. Since the explanation phase has been previously described, the primary focus of this paper is the rule generation phase. This latter phase consists of taking a subset of the explanations and using these explanations to generate a set of new reactive rules to add to the original set. The particular subset of the explanations that is chosen yields rules that provide new domain knowledge for handling knowledge gaps in the original rule set. The original rule set, in a complimentary manner, provides expertise to fill the gaps where the domain knowledge provided by the new rules is incomplete.
Cite
Text
Gordon. "An Enhancer for Reactive Plans." International Conference on Machine Learning, 1991. doi:10.1016/B978-1-55860-200-7.50103-3Markdown
[Gordon. "An Enhancer for Reactive Plans." International Conference on Machine Learning, 1991.](https://mlanthology.org/icml/1991/gordon1991icml-enhancer/) doi:10.1016/B978-1-55860-200-7.50103-3BibTeX
@inproceedings{gordon1991icml-enhancer,
title = {{An Enhancer for Reactive Plans}},
author = {Gordon, Diana F.},
booktitle = {International Conference on Machine Learning},
year = {1991},
pages = {505-508},
doi = {10.1016/B978-1-55860-200-7.50103-3},
url = {https://mlanthology.org/icml/1991/gordon1991icml-enhancer/}
}