Volume 122, Number 2, April 2018
|Number of page(s)||6|
|Published online||11 June 2018|
Influence of small-world topology and time-scale in evolutionary Kuramoto dilemma
Institute of Computational Physics and Complex Systems, Lanzhou University - Lanzhou, Gansu 730000, China
Received: 8 April 2018
Accepted: 18 May 2018
We study the coevolution of synchronization and cooperation with costly interactions in small-world networks, in which each node, representing a Kuramoto oscillator, can interact (cooperate) —or not (defect)— with its neighbors. Being a cooperator will easily collect some benefits from the local synchronization but need to pay for a cost for interaction, while being a defector will be relatively difficult to reap payoffs since it would not like to align with their neighbors. To be a cooperator or not be constitutes the evolutionary Kuramoto dilemma. By extensive computer simulations, we find that when the relative cost for cooperation is low, more random topology favors the emergence of collective synchronization and cooperation. Whenever the cooperative behavior becomes costly, a high level of global synchronization can only be achieved in the typical small-world region, i.e., the underlying interaction should be not too regular, and not too random as well. Furthermore, simulation results with distinct time scale of the involved synchronization and cooperation dynamics show that both the cooperation and synchronization level of the system can be improved by increasing the relative time scale of strategy updating.
PACS: 02.50.Le – Decision theory and game theory / 87.23.Ge – Dynamics of social systems / 07.05.Tp – Computer modeling and simulation
© EPLA, 2018
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.