DocumentCode :
2014758
Title :
Learning in coach-based distributed multi-agent system
Author :
Hong, Huang ; Yong-chun, Yu ; Xin, Gao
Author_Institution :
Dept. of Autom. Control, Beijing Inst. of Technol., China
Volume :
3
fYear :
2002
fDate :
2002
Firstpage :
2520
Abstract :
The distributed multi-agent system (DMAS) is a significant research topic in artificial intelligence, the crossing of distributed multi-agent intelligence and machine learning is focused on by many researchers. The paper introduces some learning methods in DMAS and puts forward that an agent can improve the ability of predicting other agents´ actions.
Keywords :
learning (artificial intelligence); multi-agent systems; SoccerServer; coach-based distributed multi-agent system; distributed artificial intelligence; distributed multi-agent intelligence; machine learning; Artificial intelligence; Feedback; Intelligent agent; Learning systems; Machine learning; Multiagent systems; Paper technology; Pattern matching; Real time systems; Working environment noise;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Control and Automation, 2002. Proceedings of the 4th World Congress on
Print_ISBN :
0-7803-7268-9
Type :
conf
DOI :
10.1109/WCICA.2002.1021549
Filename :
1021549
Link To Document :
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