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
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;
Conference_Titel :
Systems, Man and Cybernetics, 2004 IEEE International Conference on
Print_ISBN :
0-7803-8566-7
DOI :
10.1109/ICSMC.2004.1400782