Year: 2003
Type: conference-paper
Abstract: This paper presents a parametric system, devised \nand implemented to perform hierarchical planning \nby delegating the actual search to an external \nplanner (the "parameter") at any level of abstraction, \nincluding the ground one. Aimed at \ngiving a better insight of whether or not the exploitation \nof abstract spaces can be used for \nsolving complex planning problems, comparisons \nhave been made between instances of the \nhierarchical planner and their non hierarchical \ncounterparts. To improve the significance of the \nresults, three different planners have been selected \nand used while performing experiments. \nTo facilitate the setting of experimental environments, \na novel semi-automatic technique, \nused to generate abstraction hierarchies starting \nfrom ground-level domain descriptions, is also \ndescribed.
Institution: University of Cagliari
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W186608971