DocumentCode :
441656
Title :
Conditional Effects Based on Conditionally Mutual Exclusions among Actions
Author :
Gu, Wen-xiang ; Zhao, Cheng-Li ; Yu, Zhi-Heng
Author_Institution :
Department of Computer Science, Northeast Normal University, 130117Changchun, Jilin, China; E-MAIL: gwx@nenu.edu.cn
Volume :
1
fYear :
2005
fDate :
18-21 Aug. 2005
Firstpage :
634
Lastpage :
637
Abstract :
IPP extended Graphplan with STRIPS to ADL subset and solved the planning problem with conditional effects. In this paper, we give the concepts of unconditionally mutual exclusions among actions, semi-conditionally mutual exclusions among actions and completely conditionally mutual exclusions among actions, and then put forward a new approach different from IPP, which is also used to deal with conditional effects. It creates all kinds of mutual exclusion relations when creating a planning graph, and according to them, it can judge whether the check of conditional exclusions is necessary when searching for a plan, so that it will make the solution of extracting faster, which improves the efficiency of the whole system.
Keywords :
IPP; completely conditionally mutual exclusions among actions; conditional effects; semi-conditionally mutual exclusions among actions; unconditionally mutual exclusions among actions; Artificial intelligence; Computer science; Cybernetics; Delay effects; Machine learning; Process planning; Strips; Uncertainty; IPP; completely conditionally mutual exclusions among actions; conditional effects; semi-conditionally mutual exclusions among actions; unconditionally mutual exclusions among actions;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Machine Learning and Cybernetics, 2005. Proceedings of 2005 International Conference on
Conference_Location :
Guangzhou, China
Print_ISBN :
0-7803-9091-1
Type :
conf
DOI :
10.1109/ICMLC.2005.1527021
Filename :
1527021
Link To Document :
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