DocumentCode :
2262015
Title :
Online Parallelization in Conformant Planning
Author :
Gu, Wenxiang ; Liu, Shaojun ; Ma, Zhixing ; Wang, Junshu ; Yin, Minghao
Author_Institution :
Coll. of Comput. Sci., Northeast Normal Univ., Changchun
Volume :
1
fYear :
2008
fDate :
20-22 Dec. 2008
Firstpage :
843
Lastpage :
847
Abstract :
Presently, the main idea of most state-of-the-art conformant planners is to transform a conformant planning problem into a search problem in the space of brief states. However, directly searching a parallel plan solution in the space of brief states has an Achilles´ heel: the space of brief states whose elements are sets of possible world states, is always too large. It´s alomst impossible for the planner to branch on all possible subsets of parallel actions because the branching factor will exponentially increasing. In this paper, we design a system called CFFP on the basis of an efficient conformant planner CFF (conformant fast-forward). CFFP generates parallel plans by using recursion online parallelization of partial plans. Although this method can´t generate optimal parallel plan, empirical results show that it can generate good plan close to the optimal parallel planning by small cost compared to CFF.
Keywords :
multi-agent systems; parallel algorithms; planning (artificial intelligence); search problems; set theory; Achilles heel; agent conformant planning problem; branching factor; brief state space; conformant fast-forward planner; optimal parallel planning; partial planning; recursive online parallelization algorithm; search problem; set theory; Application software; Computer science; Cost function; Educational institutions; Information technology; Search problems; State-space methods; Technology planning; Welding; Conformant planning; Exponential branching factor; Heuristic brief state space search; Intelligence planning; Parallel plans;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Information Technology Application, 2008. IITA '08. Second International Symposium on
Conference_Location :
Shanghai
Print_ISBN :
978-0-7695-3497-8
Type :
conf
DOI :
10.1109/IITA.2008.216
Filename :
4739690
Link To Document :
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