DocumentCode
2959376
Title
Severe Punishment for Those Who Were Caught
Author
Deng, Kuiying ; Li, Zhuozheng ; Chu, Tianguang
Author_Institution
State Key Lab. for Turbulence & Complex Syst., Peking Univ., Beijing, China
fYear
2010
fDate
22-26 March 2010
Firstpage
296
Lastpage
301
Abstract
Cooperation among unrelated individuals is pervasive in human societies, while natural selection favors the survival of the fittest. The theoretical explanation for this puzzle is a challenge across disciplines. Among other mechanisms that can promote cooperation is costly punishment, in which altruistic individuals privately bear the cost to punish defection. But it decreases the welfare of both the punisher and the punished, and defectors are hard and costly to be caught in many cases. Moreover, punishment may trigger a chain of retaliation between the punisher and the punished and induce second-order free riding - those who never punish will be better off than punishers. In this article we aim to get rid of these drawbacks by refining the mechanism of punishment. First we define an extended Public Goods game in which the defector is caught and punished with a certain probability and the cost of punishment is equally shared between the remainder of the group. Then we derive the fixation probability for one mutant cooperator to invade and take over the whole population. Our analysis shows that, when the probability for punishment is above a threshold, natural selection favors cooperating replacing defecting. Both analytical results and computer simulations show that severe punishment for a small fraction of defectors is enough for one mutant cooperator to become fixed with an advantageous probability in the population of defectors. In addition, this way of punishment can considerably decrease the total cost of inhibiting defection, especially for large populations.
Keywords
behavioural sciences; social sciences; cooperation; defector; fixation probability; human society; induce second-order free riding; mutant cooperator; natural selection; public goods game; punisher; retaliation; severe punishment; welfare; Atmospheric measurements; Buildings; Computer simulation; Games; Humans; Particle measurements; Waste materials; Public Goods game; cooperation; finite population; fixation probability; punishment;
fLanguage
English
Publisher
ieee
Conference_Titel
Engineering of Complex Computer Systems (ICECCS), 2010 15th IEEE International Conference on
Conference_Location
Oxford
Print_ISBN
978-1-4244-6638-2
Electronic_ISBN
978-1-4244-6639-9
Type
conf
DOI
10.1109/ICECCS.2010.53
Filename
5628597
Link To Document