Literature DB >> 23485452

Effectiveness of conditional punishment for the evolution of public cooperation.

Attila Szolnoki1, Matjaž Perc.   

Abstract

Collective actions, from city marathons to labor strikes, are often mass-driven and subject to the snowball effect. Motivated by this, we study evolutionary advantages of conditional punishment in the spatial public goods game. Unlike unconditional punishers who always impose the same fines on defectors, conditional punishers do so proportionally with the number of other punishers in the group. Phase diagrams in dependence on the punishment fine and cost reveal that the two types of punishers cannot coexist. Spontaneous coarsening of the two strategies leads to an indirect territorial competition with the defectors, which is won by unconditional punishers only if the sanctioning is inexpensive. Otherwise conditional punishers are the victors of the indirect competition, indicating that under more realistic conditions they are indeed the more effective strategy. Both continuous and discontinuous phase transitions as well as tricritical points characterize the complex evolutionary dynamics, which is due to multipoint interactions that are introduced by conditional punishment. We propose indirect territorial competition as a generally applicable mechanism relying on pattern formation, by means of which spatial structure can be utilized by seemingly subordinate strategies to avoid evolutionary extinction.
Copyright © 2013 Elsevier Ltd. All rights reserved.

Mesh:

Year:  2013        PMID: 23485452     DOI: 10.1016/j.jtbi.2013.02.008

Source DB:  PubMed          Journal:  J Theor Biol        ISSN: 0022-5193            Impact factor:   2.691


  21 in total

1.  Early exclusion leads to cyclical cooperation in repeated group interactions.

Authors:  Linjie Liu; Zhilong Xiao; Xiaojie Chen; Attila Szolnoki
Journal:  J R Soc Interface       Date:  2022-03-23       Impact factor: 4.118

2.  Evolution of altruistic punishments among heterogeneous conditional cooperators.

Authors:  Balaraju Battu
Journal:  Sci Rep       Date:  2021-05-18       Impact factor: 4.379

3.  A bio-inspired methodology of identifying influential nodes in complex networks.

Authors:  Cai Gao; Xin Lan; Xiaoge Zhang; Yong Deng
Journal:  PLoS One       Date:  2013-06-14       Impact factor: 3.240

4.  Punishment based on public benefit fund significantly promotes cooperation.

Authors:  Xiuling Wang; Jie Wu; Gang Shu; Ya Li
Journal:  PLoS One       Date:  2014-08-19       Impact factor: 3.240

5.  Increasing returns to scale: The solution to the second-order social dilemma.

Authors:  Hang Ye; Shu Chen; Jun Luo; Fei Tan; Yongmin Jia; Yefeng Chen
Journal:  Sci Rep       Date:  2016-08-18       Impact factor: 4.379

6.  Reinforcement learning accounts for moody conditional cooperation behavior: experimental results.

Authors:  Yutaka Horita; Masanori Takezawa; Keigo Inukai; Toshimasa Kita; Naoki Masuda
Journal:  Sci Rep       Date:  2017-01-10       Impact factor: 4.379

7.  Conditional punishment is a double-edged sword in promoting cooperation.

Authors:  Feng Huang; Xiaojie Chen; Long Wang
Journal:  Sci Rep       Date:  2018-01-11       Impact factor: 4.379

8.  Adaptive long-range migration promotes cooperation under tempting conditions.

Authors:  Genki Ichinose; Masaya Saito; Hiroki Sayama; David Sloan Wilson
Journal:  Sci Rep       Date:  2013       Impact factor: 4.379

9.  Evolution of cooperation by the introduction of the probabilistic peer-punishment based on the difference of payoff.

Authors:  Tetsushi Ohdaira
Journal:  Sci Rep       Date:  2016-05-05       Impact factor: 4.379

10.  A novel framework of classical and quantum prisoner's dilemma games on coupled networks.

Authors:  Xinyang Deng; Qi Zhang; Yong Deng; Zhen Wang
Journal:  Sci Rep       Date:  2016-03-15       Impact factor: 4.379

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.