Previous studies suggest that cooperation prevails when individuals can switch their interaction partners quickly. However, it is still unclear how quickly individuals should switch adverse partners to maximize cooperation. To address this issue, we propose a simple model of coevolutionary prisoner's dilemma in which individuals are allowed to either adjust their strategies or switch their defective partners. Interestingly, we find that, depending on the game parameter, there is an optimal tendency of switching adverse partnerships that maximizes the fraction of cooperators in the population. We confirm that the stabilization of cooperation by partner switching remains effective under some situations, where either normalized or accumulated payoff is used in strategy updating, and where either only cooperators or all individuals are privileged to sever disadvantageous partners. We also provide an extended pair approximation to study the coevolutionary dynamics. Our results may be helpful in understanding the role of partner switching in the stabilization of cooperation in the real world.
%0 Journal Article
%1 Fu2009
%A Fu, Feng
%A Wu, Te
%A Wang, Long
%D 2009
%I APS
%J Phys. Rev. E
%K game-theory networks moment-closure pair-approximation coevolution adaptive-networks graphs
%N 3
%P 036101
%R 10.1103/PhysRevE.79.036101
%T Partner switching stabilizes cooperation in coevolutionary prisoner's dilemma
%V 79
%X Previous studies suggest that cooperation prevails when individuals can switch their interaction partners quickly. However, it is still unclear how quickly individuals should switch adverse partners to maximize cooperation. To address this issue, we propose a simple model of coevolutionary prisoner's dilemma in which individuals are allowed to either adjust their strategies or switch their defective partners. Interestingly, we find that, depending on the game parameter, there is an optimal tendency of switching adverse partnerships that maximizes the fraction of cooperators in the population. We confirm that the stabilization of cooperation by partner switching remains effective under some situations, where either normalized or accumulated payoff is used in strategy updating, and where either only cooperators or all individuals are privileged to sever disadvantageous partners. We also provide an extended pair approximation to study the coevolutionary dynamics. Our results may be helpful in understanding the role of partner switching in the stabilization of cooperation in the real world.
@article{Fu2009,
abstract = {Previous studies suggest that cooperation prevails when individuals can switch their interaction partners quickly. However, it is still unclear how quickly individuals should switch adverse partners to maximize cooperation. To address this issue, we propose a simple model of coevolutionary prisoner's dilemma in which individuals are allowed to either adjust their strategies or switch their defective partners. Interestingly, we find that, depending on the game parameter, there is an optimal tendency of switching adverse partnerships that maximizes the fraction of cooperators in the population. We confirm that the stabilization of cooperation by partner switching remains effective under some situations, where either normalized or accumulated payoff is used in strategy updating, and where either only cooperators or all individuals are privileged to sever disadvantageous partners. We also provide an extended pair approximation to study the coevolutionary dynamics. Our results may be helpful in understanding the role of partner switching in the stabilization of cooperation in the real world.},
added-at = {2011-01-13T13:25:49.000+0100},
author = {Fu, Feng and Wu, Te and Wang, Long},
biburl = {https://www.bibsonomy.org/bibtex/234334c8a85074ffeedb94b02055c9083/rincedd},
doi = {10.1103/PhysRevE.79.036101},
eid = {036101},
file = {Fu2009 - Partner switching stabilizes cooperation in coevolutionary prisoner’s dilemma.pdf:Evolutionary Game Theory/Fu2009 - Partner switching stabilizes cooperation in coevolutionary prisoner’s dilemma.pdf:PDF;Fu2009a - Evolutionary dynamics on graphs\: Efficient method for weak selection.pdf:Evolutionary Game Theory/Fu2009a - Evolutionary dynamics on graphs\: Efficient method for weak selection.pdf:PDF},
interhash = {d7817ed77f5d98d13d6e946baeb38f54},
intrahash = {34334c8a85074ffeedb94b02055c9083},
journal = {Phys. Rev. E},
keywords = {game-theory networks moment-closure pair-approximation coevolution adaptive-networks graphs},
number = 3,
pages = 036101,
publisher = {APS},
timestamp = {2011-01-13T13:25:49.000+0100},
title = {Partner switching stabilizes cooperation in coevolutionary prisoner's dilemma},
volume = 79,
year = 2009
}