Constructing Belief Networks to Evaluate Plans
Abstract
This paper examines the problem of constructing belief networks to evaluate plans produced by an knowledge-based planner. Techniques are presented for handling various types of complicating plan features. These include plans with context-dependent consequences, indirect consequences, actions with preconditions that must be true during the execution of an action, contingencies, multiple levels of abstraction multiple execution agents with partially-ordered and temporally overlapping actions, and plans which reference specific times and time durations.
Cite
Text
Lehner et al. "Constructing Belief Networks to Evaluate Plans." Conference on Uncertainty in Artificial Intelligence, 1994. doi:10.1016/B978-1-55860-332-5.50057-2Markdown
[Lehner et al. "Constructing Belief Networks to Evaluate Plans." Conference on Uncertainty in Artificial Intelligence, 1994.](https://mlanthology.org/uai/1994/lehner1994uai-constructing/) doi:10.1016/B978-1-55860-332-5.50057-2BibTeX
@inproceedings{lehner1994uai-constructing,
title = {{Constructing Belief Networks to Evaluate Plans}},
author = {Lehner, Paul E. and Elsaesser, Chris and Musman, Scott A.},
booktitle = {Conference on Uncertainty in Artificial Intelligence},
year = {1994},
pages = {416-422},
doi = {10.1016/B978-1-55860-332-5.50057-2},
url = {https://mlanthology.org/uai/1994/lehner1994uai-constructing/}
}