HTN Planning: Complexity and Expressivity
Abstract
Most practical work on AI planning systems during the last fifteen years has been based on hierarchical task network (HTN) decomposition, but until now, there has been very little analytical work on the properties of HTN planners. This paper describes how the complexity of HTN planning varies with various conditions on the task networks.
Cite
Text
Erol et al. "HTN Planning: Complexity and Expressivity." AAAI Conference on Artificial Intelligence, 1994.Markdown
[Erol et al. "HTN Planning: Complexity and Expressivity." AAAI Conference on Artificial Intelligence, 1994.](https://mlanthology.org/aaai/1994/erol1994aaai-htn/)BibTeX
@inproceedings{erol1994aaai-htn,
title = {{HTN Planning: Complexity and Expressivity}},
author = {Erol, Kutluhan and Hendler, James A. and Nau, Dana S.},
booktitle = {AAAI Conference on Artificial Intelligence},
year = {1994},
pages = {1123-1128},
url = {https://mlanthology.org/aaai/1994/erol1994aaai-htn/}
}