DocumentCode
1713258
Title
Minimizing the number of actions in parallel planning
Author
Grandcolas, Stéphane ; Pain-Barre, Cyril
Author_Institution
CNRS, Domaine Univ. de St.-Jerome, Marseille, France
Volume
2
fYear
2010
Firstpage
189
Lastpage
196
Abstract
In the domain of classical planning one distinguishes plans which are optimal in their number of actions, they are referred as sequential plans, from plans which are optimal in their number of levels, they are referred as parallel plans. Searching optimal sequential plans is generally considered harder than searching optimal parallel plans. Buttner and Rintanen have proposed a search procedure which computes plans whose numbers of levels are fixed and whose numbers of actions are minimal. This procedure is notably used to calculate optimal sequential plans, starting from an optimal parallel plan. In this paper we describe a similar approach, which we have developed from the planner FDP. The idea consists in maintaining two structures, the first one representing the parallel plan and the other representing the sequential plan, performing the choices simultaneously in both structures. The techniques which were developed in FDP to compute sequential plans or parallel plans enable failures detection in the two structures. Experimental results show that this approach is in some cases more efficient than FDP when searching optimal sequential plans.
Keywords
parallel processing; planning (artificial intelligence); failures detection; optimal parallel plans; optimal sequential plans; parallel planning; planner FDP; Artificial intelligence; Context; Planning; Random access memory; Search problems; Semantics; optimal parallel planning; optimal sequential planning;
fLanguage
English
Publisher
ieee
Conference_Titel
Tools with Artificial Intelligence (ICTAI), 2010 22nd IEEE International Conference on
Conference_Location
Arras
ISSN
1082-3409
Print_ISBN
978-1-4244-8817-9
Type
conf
DOI
10.1109/ICTAI.2010.100
Filename
5671414
Link To Document