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Title:Probabilistic sharing solves the problem of costly punishment
Authors:ID Chen, Xiaojie (Author)
ID Szolnoki, Attila (Author)
ID Perc, Matjaž (Author)
Files:.pdf New_Journal_of_Physics_2014_Chen,_Szolnoki,_Perc_Probabilistic_sharing_solves_the_problem_of_costly_punishment.pdf (1,52 MB)
MD5: 89A87294E70C2748A57CDDD38B3A12CA
 
URL http://stacks.iop.org/1367-2630/16/i=8/a=083016?key=crossref.386c85aae3cd7994fe38ee525f977410
 
Language:English
Work type:Article
Typology:1.01 - Original Scientific Article
Organization:FNM - Faculty of Natural Sciences and Mathematics
Abstract:Cooperators that refuse to participate in sanctioning defectors create the secondorder free-rider problem. Such cooperators will not be punished because they contribute to the public good, but they also eschew the costs associated with punishing defectors. Altruistic punishers - those that cooperate and punish - are at a disadvantage, and it is puzzling how such behaviour has evolved. We show that sharing the responsibility to sanction defectors rather than relying on certain individuals to do so permanently can solve the problem of costly punishment. Inspired by the fact that humans have strong but also emotional tendencies for fair play, we consider probabilistic sanctioning as the simplest way of distributing the duty. In well-mixed populations the public goods game is transformed into a coordination game with full cooperation and defection as the two stable equilibria, while in structured populations pattern formation supports additional counterintuitive solutions that are reminiscent of Parrondoʼs paradox.
Keywords:social dynamics, networks, punishment, public goods, econophysics
Publication status:Published
Publication version:Version of Record
Year of publishing:2014
Number of pages:str. 1-15
Numbering:Letn. 16
PID:20.500.12556/DKUM-66559 New window
ISSN:1367-2630
UDC:53
ISSN on article:1367-2630
COBISS.SI-ID:20806152 New window
DOI:10.1088/1367-2630/16/8/083016 New window
NUK URN:URN:SI:UM:DK:FL3GSNI4
Publication date in DKUM:03.07.2017
Views:1274
Downloads:421
Metadata:XML DC-XML DC-RDF
Categories:Misc.
:
CHEN, Xiaojie, SZOLNOKI, Attila and PERC, Matjaž, 2014, Probabilistic sharing solves the problem of costly punishment. New journal of physics [online]. 2014. Vol. 16, p. 1–15. [Accessed 20 January 2025]. DOI 10.1088/1367-2630/16/8/083016. Retrieved from: https://dk.um.si/IzpisGradiva.php?lang=eng&id=66559
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Record is a part of a journal

Title:New journal of physics
Publisher:Institute of Physics Publishing, Deutsche Physikalische Gesellschaft
ISSN:1367-2630
COBISS.SI-ID:21135621 New window

Document is financed by a project

Funder:ARRS - Slovenian Research Agency
Project number:J1-4055
Name:Fizika evolucijskih procesov

Licences

License:CC BY 4.0, Creative Commons Attribution 4.0 International
Link:http://creativecommons.org/licenses/by/4.0/
Description:This is the standard Creative Commons license that gives others maximum freedom to do what they want with the work as long as they credit the author.
Licensing start date:03.07.2017

Secondary language

Language:Slovenian
Keywords:socialna dinamika, mreže, kazen, javne dobrine, ekonofizika


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