DocumentCode :
2040125
Title :
Survey on game-theoretic information fusion
Author :
Yin, Huilin ; Wang, Lei ; Nong, Jing
Author_Institution :
Dept. of Electron. & Inf. in CDHK, Tongji Univ., Shanghai, China
Volume :
5
fYear :
2010
fDate :
10-12 Aug. 2010
Firstpage :
2147
Lastpage :
2151
Abstract :
This paper surveys the research of the information fusion approaches based on game theory. How to resolve the high level fusion problem in the conflict and cooperation environment of multiple sources information is a key problem in the current research of information fusion. Game theory is promising to successfully model conflict and cooperative interactions. So, the relatively new interdisciplinary study of information fusion based on game theory deserves further exploration. Based on the state-of-the-art of the game-theoretic information fusion study, this paper analyzes the two characters (interdisciplinary and high-level) and two study routes (direct route and indirect route via Artificial Intelligence). The most representative processing models, architectures and algorithms in this field are described. The military and several civilian applications and the validity of the game-theoretic information fusion approaches are summarized. Finally, the issues and challenges are summarized and the further research directions are discussed.
Keywords :
game theory; sensor fusion; artificial intelligence; game theory; information fusion; Artificial intelligence; Biological system modeling; Data models; Game theory; Games; Markov processes; decision-making; game theory; information fusion; interdisciplinary study; multi-agent system;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Fuzzy Systems and Knowledge Discovery (FSKD), 2010 Seventh International Conference on
Conference_Location :
Yantai, Shandong
Print_ISBN :
978-1-4244-5931-5
Type :
conf
DOI :
10.1109/FSKD.2010.5569745
Filename :
5569745
Link To Document :
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