Positive Interactions Promote Public Cooperation

被引:484
|
作者
Rand, David G. [1 ,2 ]
Dreber, Anna [1 ,6 ]
Ellingsen, Tore [6 ]
Fudenberg, Drew [3 ]
Nowak, Martin A. [1 ,4 ,5 ]
机构
[1] Harvard Univ, Program Evolutionary Dynam, Cambridge, MA 02138 USA
[2] Harvard Univ, Berkman Ctr Internet & Soc, Cambridge, MA 02138 USA
[3] Harvard Univ, Dept Econ, Cambridge, MA 02138 USA
[4] Harvard Univ, Dept Math, Cambridge, MA 02138 USA
[5] Harvard Univ, Dept Organism & Evolutionary Biol, Cambridge, MA 02138 USA
[6] Stockholm Sch Econ, Dept Econ, S-11358 Stockholm, Sweden
基金
美国国家科学基金会;
关键词
REPEATED GAMES; ALTRUISTIC PUNISHMENT; INDIRECT RECIPROCITY; COSTLY PUNISHMENT; SANCTIONS; EVOLUTION; GOODS; PROVISION; REWARDS; ORGANIZATIONS;
D O I
10.1126/science.1177418
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
The public goods game is the classic laboratory paradigm for studying collective action problems. Each participant chooses how much to contribute to a common pool that returns benefits to all participants equally. The ideal outcome occurs if everybody contributes the maximum amount, but the self-interested strategy is not to contribute anything. Most previous studies have found punishment to be more effective than reward for maintaining cooperation in public goods games. The typical design of these studies, however, represses future consequences for today's actions. In an experimental setting, we compare public goods games followed by punishment, reward, or both in the setting of truly repeated games, in which player identities persist from round to round. We show that reward is as effective as punishment for maintaining public cooperation and leads to higher total earnings. Moreover, when both options are available, reward leads to increased contributions and payoff, whereas punishment has no effect on contributions and leads to lower payoff. We conclude that reward outperforms punishment in repeated public goods games and that human cooperation in such repeated settings is best supported by positive interactions with others.
引用
收藏
页码:1272 / 1275
页数:4
相关论文
共 50 条
  • [1] Zealous cooperation does not always promote cooperation in public goods games
    Wang, Chaoqian
    Sun, Chengbin
    [J]. CHAOS, 2023, 33 (06)
  • [2] Embodied Cooperation to Promote Forgiving Interactions With Autonomous Machines
    Schofield, Jonathon S.
    Battraw, Marcus A.
    Parker, Adam S. R.
    Pilarski, Patrick M.
    Sensinger, Jonathon W.
    Marasco, Paul D.
    [J]. FRONTIERS IN NEUROROBOTICS, 2021, 15
  • [3] Does strong heterogeneity promote cooperation by group interactions?
    Perc, Matjaz
    [J]. NEW JOURNAL OF PHYSICS, 2011, 13
  • [4] Preferential interactions promote blind cooperation and informed defection
    Perez-Escudero, Alfonso
    Friedman, Jonathan
    Gore, Jeff
    [J]. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2016, 113 (49) : 13995 - 14000
  • [5] Complex interactions promote the frequency of cooperation in snowdrift game
    Han, Jia-Xu
    Wang, Rui-Wu
    [J]. PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, 2023, 609
  • [6] HETEROGENEOUS ASPIRATIONS PROMOTE COOPERATION IN THE PUBLIC GOODS GAME
    Sun, Lei
    Yang, Han-Xin
    Chen, Shao-Min
    Chen, Ya-Shan
    [J]. INTERNATIONAL JOURNAL OF MODERN PHYSICS C, 2013, 24 (01):
  • [7] Rewards based on public loyalty program promote cooperation in public goods game
    Cheng, Fei
    Chen, Tong
    Chen, Qiao
    [J]. APPLIED MATHEMATICS AND COMPUTATION, 2020, 378
  • [8] Local interactions promote cooperation in cooperator-defector systems
    Lanchier, Nicolas
    [J]. ALEA-LATIN AMERICAN JOURNAL OF PROBABILITY AND MATHEMATICAL STATISTICS, 2019, 16 (01): : 399 - 427
  • [9] Indirect exclusion can promote cooperation in repeated group interactions
    Liu, Linjie
    Chen, Xiaojie
    [J]. PROCEEDINGS OF THE ROYAL SOCIETY A-MATHEMATICAL PHYSICAL AND ENGINEERING SCIENCES, 2022, 478 (2263):
  • [10] Heterogeneous investments promote cooperation in evolutionary public goods games
    Wang, Qun
    Wang, Hanchen
    Zhang, Zhuxi
    Li, Yumeng
    Liu, Yu
    Perc, Matjaz
    [J]. PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, 2018, 502 : 570 - 575