PREFERENCE AND EVOLUTION IN THE ITERATED PRISONER’S DILEMMA

被引:0
|
作者
王先甲
刘伟兵
机构
[1] Economics and Management School of Wuhan University
[2] Institute of Systems Engineering,Wuhan University
基金
中国国家自然科学基金;
关键词
Game theory; evolutionary game; prisoner’s dilemma; Birth-and-Death process; preference;
D O I
暂无
中图分类号
O225 [对策论(博弈论)];
学科分类号
070105 ; 1201 ;
摘要
Game theory is extensively used to study strategy-making and actions of players. The authors proposed an analysis method for study the evolutionary outcome and behaviors of players with preference in iterated prisoner’s dilemma. In this article,a preference parameter k was introduced in the payoff matrix,wherein the value of k denotes the player’s degree of egoism and altruism(preference). Then,a game-theoretic dynamical model was formulated using Birth-and-Death process. The authors studied how preference influences the evolutionary equilibrium and behaviors of players. The authors get the general results:egoism leads to defection,and altruism can make players build trust and maintain cooperation,and so,the hope of the Pareto optimal solution. In the end,the simulation experiments proved the efficiency of the method.
引用
收藏
页码:456 / 464
页数:9
相关论文
共 50 条
  • [41] Information sharing in the Iterated Prisoner's Dilemma game
    Ghoneim, Ayman
    Abbass, Hussein
    Barlow, Michael
    2007 IEEE SYMPOSIUM ON COMPUTATIONAL INTELLIGENCE AND GAMES, 2007, : 56 - 62
  • [42] Evolving continuous behaviors in the Iterated Prisoner's Dilemma
    Harrald, PG
    Fogel, DB
    BIOSYSTEMS, 1996, 37 (1-2) : 135 - 145
  • [43] Risk consideration and cooperation in the iterated prisoner's dilemma
    Zeng, Weijun
    Li, Minqiang
    Chen, Fuzan
    Nan, Guofang
    SOFT COMPUTING, 2016, 20 (02) : 567 - 587
  • [44] Properties of winning Iterated Prisoner's Dilemma strategies
    Glynatsi, Nikoleta E.
    Knight, Vincent
    Harper, Marc
    PLOS COMPUTATIONAL BIOLOGY, 2024, 20 (12)
  • [45] Evolutionary dynamics of the continuous iterated Prisoner's dilemma
    Le, Stephen
    Boyd, Robert
    JOURNAL OF THEORETICAL BIOLOGY, 2007, 245 (02) : 258 - 267
  • [46] New Winning Strategies for the Iterated Prisoner's Dilemma
    Mathieu, Philippe
    Delahaye, Jean-Paul
    JASSS-THE JOURNAL OF ARTIFICIAL SOCIETIES AND SOCIAL SIMULATION, 2017, 20 (04):
  • [47] Heterogeneous Strategy Learning in the Iterated Prisoner's Dilemma
    Rangoni, Ruggero
    ETICA & POLITICA, 2013, 15 (02): : 42 - 57
  • [48] Evolution of Strategies With Different Representation Schemes in a Spatial Iterated Prisoner's Dilemma Game
    Ishibuchi, Hisao
    Ohyanagi, Hiroyuki
    Nojima, Yusuke
    IEEE TRANSACTIONS ON COMPUTATIONAL INTELLIGENCE AND AI IN GAMES, 2011, 3 (01) : 67 - 82
  • [49] Risk consideration and cooperation in the iterated prisoner’s dilemma
    Weijun Zeng
    Minqiang Li
    Fuzan Chen
    Guofang Nan
    Soft Computing, 2016, 20 : 567 - 587
  • [50] Active Player Modeling in the Iterated Prisoner's Dilemma
    Park, Hyunsoo
    Kim, Kyung-Joong
    COMPUTATIONAL INTELLIGENCE AND NEUROSCIENCE, 2016, 2016