DocumentCode
571597
Title
Intelligent Strategy and Average Revenue Ascension in Repeated Game
Author
Guo, Dongwei ; Wang, Qingyao ; Yu, Mingguang
Author_Institution
Coll. of Comput. Sci. & Technol., Jilin Univ., Changchun, China
Volume
1
fYear
2012
fDate
26-27 Aug. 2012
Firstpage
177
Lastpage
180
Abstract
Evolutionary game theory is important tool for studying complex system. In this paper we bring intelligent strategy model in game theory. An intelligent fitness-reaction strategy model which is based on fitness-reaction decision-making model and two-branch logical algorithm is defined. We find that the new model could make system evolve to a stable state whose average revenue is bigger than traditional ESS´s.
Keywords
evolutionary computation; game theory; ESS; average revenue ascension; complex system; evolutionary game theory; intelligent fitness-reaction strategy model; repeated game; two-branch logical algorithm; Biological system modeling; Computational modeling; Game theory; Games; Mathematical analysis; intelligent strategy; repeated game; revenue ascension;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Human-Machine Systems and Cybernetics (IHMSC), 2012 4th International Conference on
Conference_Location
Nanchang, Jiangxi
Print_ISBN
978-1-4673-1902-7
Type
conf
DOI
10.1109/IHMSC.2012.51
Filename
6305655
Link To Document