Simple adaptive strategy wins the prisoner's dilemma

被引:16
|
作者
Hauert, C
Stenull, O
机构
[1] Univ Vienna, Inst Math, A-1090 Vienna, Austria
[2] Univ British Columbia, Dept Zool, Vancouver, BC V6T 1Z4, Canada
[3] Univ Dusseldorf, Inst Theoret Phys 3, D-40225 Dusseldorf, Germany
关键词
D O I
10.1006/jtbi.2002.3072
中图分类号
Q [生物科学];
学科分类号
07 ; 0710 ; 09 ;
摘要
The prisoner's dilemma has become the leading paradigm to explain the evolution of cooperation among selfish individuals. Here, we present an adaptive strategy that implements new mechanisms to process information about past encounters. The history of moves is summarized in an internal state which then determines the subsequent move. This enables the strategy to adjust its decisions to the character of the current opponent and to adapt the most promising strategic behavior. For this reason, we call such strategies Adaptor. Through evolutionary simulations, we demonstrate that the concept of Adaptor leads to strategical patterns that are (a) highly cooperative when playing against kin, (b) stable in a sense that goes far beyond the concept of evolutionary,stability, (c) robust to environmental changes, i.e. variations of the parameter values and finally (d) superior in performance to the most prominent strategies in the literature. (C) 2002 Elsevier Science Ltd. All rights reserved.
引用
收藏
页码:261 / 272
页数:12
相关论文
共 50 条
  • [1] An Adaptive Strategy via Reinforcement Learning for the Prisoner's Dilemma Game
    Lei Xue
    Changyin Sun
    Donald Wunsch
    Yingjiang Zhou
    Fang Yu
    IEEE/CAA Journal of Automatica Sinica, 2018, (01) : 301 - 310
  • [2] An Adaptive Strategy via Reinforcement Learning for the Prisoner's Dilemma Game
    Xue, Lei
    Sun, Changyin
    Wunsch, Donald
    Zhou, Yingjiang
    Yu, Fang
    IEEE-CAA JOURNAL OF AUTOMATICA SINICA, 2018, 5 (01) : 301 - 310
  • [3] Simple play in the Prisoner's Dilemma
    Sarin, R
    JOURNAL OF ECONOMIC BEHAVIOR & ORGANIZATION, 1999, 40 (01) : 105 - 113
  • [4] An optimal strategy to solve the Prisoner’s Dilemma
    Alessandro Bravetti
    Pablo Padilla
    Scientific Reports, 8
  • [5] A forgiving strategy for the Iterated Prisoner's Dilemma
    Riordan, CO
    JASSS-THE JOURNAL OF ARTIFICIAL SOCIETIES AND SOCIAL SIMULATION, 2000, 3 (04): : U45 - +
  • [6] An optimal strategy to solve the Prisoner's Dilemma
    Bravetti, Alessandro
    Padilla, Pablo
    SCIENTIFIC REPORTS, 2018, 8
  • [7] Heterogeneous Strategy Learning in the Iterated Prisoner's Dilemma
    Rangoni, Ruggero
    ETICA & POLITICA, 2013, 15 (02): : 42 - 57
  • [8] Strategy Choice in the Infinitely Repeated Prisoner's Dilemma
    Dal Bo, Pedro
    Frechette, Guillaume
    AMERICAN ECONOMIC REVIEW, 2019, 109 (11): : 3929 - 3952
  • [9] Quantum Prisoner's Dilemma in Asymmetric Strategy Spaces
    Elgazzar, A. S.
    Elrayes, H. A.
    INTERNATIONAL JOURNAL OF THEORETICAL PHYSICS, 2021, 60 (09) : 3467 - 3477
  • [10] Fuzzy strategy updating in the prisoner's dilemma game
    Deng, Hongmin
    Zhi, Yong
    Hu, Hui
    International Journal of Simulation: Systems, Science and Technology, 2012, 13 (3 A): : 10 - 16