DocumentCode
428490
Title
Fast plan recognition through graph construction and analysis
Author
Yin, Ming-hao ; Gu, Wen-xiang ; Lu, Ying-Hua
Author_Institution
Dept. of Comput. Sci., Northeast Normal Univ., Changchun, China
Volume
3
fYear
2004
fDate
10-13 Oct. 2004
Firstpage
2954
Abstract
Goal graph exemplifies plan recognition achievable without a plan library. It´s in this spirit that EFG-graph recognizer is introduced. This method doesn´t suffer the problem of acquisition and handcoding a larger plan library as traditional methods do. It can recognize goals even when actions are only partially observed, and it can make early predications, and these are both problematic for goal graph. Since the recognizer is a domain independent one, the method can be adapted in almost every domain. The experimental results also show that the algorithm has excellent performance in terms of accuracy, efficiency, and scalability.
Keywords
knowledge based systems; pattern recognition; fast plan recognition; goal graph; graph analysis; graph construction; plan library; Algorithm design and analysis; Computer science; Libraries; Machine learning; Machine learning algorithms; Organizing; Statistics;
fLanguage
English
Publisher
ieee
Conference_Titel
Systems, Man and Cybernetics, 2004 IEEE International Conference on
ISSN
1062-922X
Print_ISBN
0-7803-8566-7
Type
conf
DOI
10.1109/ICSMC.2004.1400782
Filename
1400782
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