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