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
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;
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
DOI :
10.1109/IHMSC.2012.51
