A Parametric Hierarchical Planner for Experimenting Abstraction Techniques

ARMANO, GIULIANO;VARGIU, ELOISA
2003-01-01

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 for solving complex planning problems, comparisons 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.
2003
Inglese
Proc. of the 18th Int. Joint Conference on Artificial Intelligence (IJCAI 2003)
936
941
6
THE 18TH INT. JOINT CONFERENCE ON ARTIFICIAL INTELLIGENCE (IJCAI)
Esperti anonimi
AUGUST 9-15, 2003
ACAPULCO, MEXICO
internazionale
scientifica
no
4 Contributo in Atti di Convegno (Proceeding)::4.1 Contributo in Atti di convegno
Armano, Giuliano; Cherchi, G; Vargiu, Eloisa
273
3
4.1 Contributo in Atti di convegno
open
info:eu-repo/semantics/conferencePaper
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