273 related articles for article (PubMed ID: 25429015)
1. The evolution of anti-social rewarding and its countermeasures in public goods games.
dos Santos M
Proc Biol Sci; 2015 Jan; 282(1798):20141994. PubMed ID: 25429015
[TBL] [Abstract][Full Text] [Related]
2. Antisocial rewarding in structured populations.
Dos Santos M; Peña J
Sci Rep; 2017 Jul; 7(1):6212. PubMed ID: 28740243
[TBL] [Abstract][Full Text] [Related]
3. Replicator dynamics in public goods games with reward funds.
Sasaki T; Unemi T
J Theor Biol; 2011 Oct; 287():109-14. PubMed ID: 21824483
[TBL] [Abstract][Full Text] [Related]
4. Antisocial pool rewarding does not deter public cooperation.
Szolnoki A; Perc M
Proc Biol Sci; 2015 Oct; 282(1816):20151975. PubMed ID: 26400746
[TBL] [Abstract][Full Text] [Related]
5. Voluntary rewards mediate the evolution of pool punishment for maintaining public goods in large populations.
Sasaki T; Uchida S; Chen X
Sci Rep; 2015 Mar; 5():8917. PubMed ID: 25753335
[TBL] [Abstract][Full Text] [Related]
6. The Singaporean model in public goods dilemmas with benevolent leaders and bribery.
Fang Y; Perc M; Xu H
J Theor Biol; 2020 Sep; 501():110345. PubMed ID: 32450076
[TBL] [Abstract][Full Text] [Related]
7. On the interaction of the stick and the carrot in social dilemmas.
Milinski M; Rockenbach B
J Theor Biol; 2012 Apr; 299():139-43. PubMed ID: 21458464
[TBL] [Abstract][Full Text] [Related]
8. Replicator dynamics of reward & reputation in public goods games.
Hauert C
J Theor Biol; 2010 Nov; 267(1):22-8. PubMed ID: 20708018
[TBL] [Abstract][Full Text] [Related]
9. The take-it-or-leave-it option allows small penalties to overcome social dilemmas.
Sasaki T; Brännström Å; Dieckmann U; Sigmund K
Proc Natl Acad Sci U S A; 2012 Jan; 109(4):1165-9. PubMed ID: 22232694
[TBL] [Abstract][Full Text] [Related]
10. Public goods games with reward in finite populations.
Forsyth PA; Hauert C
J Math Biol; 2011 Jul; 63(1):109-23. PubMed ID: 20865261
[TBL] [Abstract][Full Text] [Related]
11. Cooperation in social dilemmas: free riding may be thwarted by second-order reward rather than by punishment.
Kiyonari T; Barclay P
J Pers Soc Psychol; 2008 Oct; 95(4):826-42. PubMed ID: 18808262
[TBL] [Abstract][Full Text] [Related]
12. Collective punishment is more effective than collective reward for promoting cooperation.
Gao L; Wang Z; Pansini R; Li YT; Wang RW
Sci Rep; 2015 Dec; 5():17752. PubMed ID: 26634907
[TBL] [Abstract][Full Text] [Related]
13. The evolution of punishment in n-player public goods games: a volunteer's dilemma.
Raihani NJ; Bshary R
Evolution; 2011 Oct; 65(10):2725-8. PubMed ID: 21967415
[TBL] [Abstract][Full Text] [Related]
14. The competitive advantage of institutional reward.
Dong Y; Sasaki T; Zhang B
Proc Biol Sci; 2019 Mar; 286(1899):20190001. PubMed ID: 30914009
[TBL] [Abstract][Full Text] [Related]
15. Which is the ideal sanction for cooperation? An experimental study on different types of third-party sanctions.
Hou G; Wang F; Shi J; Chen W; Yu J
Psych J; 2019 Jun; 8(2):212-231. PubMed ID: 30592159
[TBL] [Abstract][Full Text] [Related]
16. The dynamics of human behavior in the public goods game with institutional incentives.
Dong Y; Zhang B; Tao Y
Sci Rep; 2016 Jun; 6():28809. PubMed ID: 27339080
[TBL] [Abstract][Full Text] [Related]
17. Deterrence through punishment can resolve collective risk dilemmas in carbon emission games.
Jiang LL; Chen Z; Perc M; Wang Z; Kurths J; Moreno Y
Chaos; 2023 Apr; 33(4):. PubMed ID: 37097939
[TBL] [Abstract][Full Text] [Related]
18. Rewards and the evolution of cooperation in public good games.
Sasaki T; Uchida S
Biol Lett; 2014 Jan; 10(1):20130903. PubMed ID: 24478200
[TBL] [Abstract][Full Text] [Related]
19. Does insurance against punishment undermine cooperation in the evolution of public goods games?
Zhang J; Chu T; Weissing FJ
J Theor Biol; 2013 Mar; 321():78-82. PubMed ID: 23291010
[TBL] [Abstract][Full Text] [Related]
20. The shared reward dilemma.
Cuesta JA; Jiménez R; Lugo H; Sánchez A
J Theor Biol; 2008 Mar; 251(2):253-63. PubMed ID: 18177899
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]