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