NDLI: Properties of Prisoner's Dilemma Game based on genetic algorithm

Content Provider	IEEE Xplore Digital Library
Author	Wang Tao Chen Zhi-Gang Deng Xiao-Heng Zhang Jin
Copyright Year	2010
Description	Author affiliation: National Laboratory of Industrial Control Technology, Zhejiang University, Hangzhou 310027, China (Zhang Jin) \|\| School of Information Science and Engineering, Center South University, Changsha, 410083, China (Wang Tao; Chen Zhi-Gang; Deng Xiao-Heng)
Abstract	Evolutionary games are widely studied in the fields of biology, sociology, economics and informatics. People's interests focus on how cooperation emerged in a system that individuals are selfish. We studied the iterated Prisoner's Dilemma Game evolved on BA network with genetic algorithm. Nodes in network could remember the game historical strategies and coded into gene. We show that memory length has gentle effect on cooperation level, and that some characteristic genes and frequently used genes emerge after some generations. We also find that cooperate strategy distributed on different degree-nodes equably. These findings give new perspectives to the illustration of cooperation behavior in biological group and society.
Starting Page	4732
Ending Page	4736
File Size	145930
Page Count	5
File Format	PDF
ISBN	9781424462636
e-ISBN	9787894631046
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-07-29
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Chinese Association of Aut
Subject Keyword	Barium Evolution (biology) Games Genetic Algorithm Probability Scale-free Network Evolutionary Game History Biological cells
Content Type	Text
Resource Type	Article

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