Reachability, Relevance, Resolution and the Planning as Satisfiability Approach
Abstract
We investigate the ability of two central encoding methods to propagate reachability and relevance information using resolution steps. More specifically, we compare the ability of unit-propagation and higher-order resolution steps to propagate reachability and relevance information in the context of the linear and GRAPHPLAN encoding schemes to the ability of a natural class of reachability and relevance algorithms that operate at the plan level. As a result of our observations and additional considerations, we experiment with a preprocessing step based on limited binary resolution that shows nice results.
Cite
Text
Brafman. "Reachability, Relevance, Resolution and the Planning as Satisfiability Approach." International Joint Conference on Artificial Intelligence, 1999.Markdown
[Brafman. "Reachability, Relevance, Resolution and the Planning as Satisfiability Approach." International Joint Conference on Artificial Intelligence, 1999.](https://mlanthology.org/ijcai/1999/brafman1999ijcai-reachability/)BibTeX
@inproceedings{brafman1999ijcai-reachability,
title = {{Reachability, Relevance, Resolution and the Planning as Satisfiability Approach}},
author = {Brafman, Ronen I.},
booktitle = {International Joint Conference on Artificial Intelligence},
year = {1999},
pages = {976-981},
url = {https://mlanthology.org/ijcai/1999/brafman1999ijcai-reachability/}
}