A Parametric Hierarchical Planner for Experimenting Abstraction Techniques
Proceedings of the Eighteenth International Joint Conference on Artificial Intelligence. Pages 936-940.
Abstract
This paper presents a parametric system, devised and implemented to perform hierarchical planning by delegating the actual search to an external planner (the "parameter") at any level of abstraction, including the ground one. Aimed at giving a better insight of whether or not the exploitation of abstract spaces can be used f~r solving complex planning problems, compansons have been made between instances of the hierarchical planner and their non hierarchical counterparts. To improve the significance of the results, three different planners have been selected and used while performing experiments. To facilitate the setting of experimental environments, a novel semi-automatic technique, used to generate abstraction hierarchies starting from ground-level domain descriptions, is also described.
@inproceedings{ijcai2003p134,
title = {A Parametric Hierarchical Planner for Experimenting Abstraction Techniques},
author = {Armano, Giuliano and Cherchi, Giancarlo and Vargiu, Eloisa},
booktitle = {Proceedings of the Eighteenth International Joint Conference on
Artificial Intelligence, {IJCAI-03}},
publisher = {International Joint Conferences on Artificial Intelligence},
editor = {Georg Gottlob},
pages = {936--940},
year = {2003},
url = {https://ijcai.org/proceedings/2003/134},
}
TY - CPAPER TI - A Parametric Hierarchical Planner for Experimenting Abstraction Techniques AU - Armano, Giuliano AU - Cherchi, Giancarlo AU - Vargiu, Eloisa T2 - Proceedings of the Eighteenth International Joint Conference on Artificial Intelligence, IJCAI-03 PB - International Joint Conferences on Artificial Intelligence PY - 2003 SP - 936 EP - 940 UR - https://ijcai.org/proceedings/2003/134 ER -Copied
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