REAL

Probabilistic sharing solves the problem of costly punishment

Chen, Xiaojie and Szolnoki, Attila and Perc, Matjaž (2014) Probabilistic sharing solves the problem of costly punishment. NEW JOURNAL OF PHYSICS, 16. 083016. ISSN 1367-2630

[img] Text
NJP_Probabilistic__16_8_083016.pdf

Download (1MB)

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.

Item Type: Article
Uncontrolled Keywords: social dynamics, networks, punishment, public goods, econophysics
Subjects: Q Science / természettudomány > QC Physics / fizika
T Technology / alkalmazott, műszaki tudományok > T2 Technology (General) / műszaki tudományok általában
SWORD Depositor: MTMT SWORD
Depositing User: MTMT SWORD
Date Deposited: 28 Aug 2014 07:47
Last Modified: 28 Aug 2014 07:47
URI: http://real.mtak.hu/id/eprint/14346

Actions (login required)

Edit Item Edit Item