Volume 102, Number 6, June 2013
|Number of page(s)||6|
|Section||Interdisciplinary Physics and Related Areas of Science and Technology|
|Published online||15 July 2013|
Coevolution of strategy-selection time scale and cooperation in spatial prisoner's dilemma game
1 Web Sciences Center, School of Computer Science and Engineering, University of Electronic Science and Technology of China - Chengdu, Sichuan 610054, PRC
2 Department of Automation, Donghua University - Shanghai 201620, PRC
3 Institute of Computational Physics and Complex Systems, Lanzhou University - Lanzhou, Gansu 730000, PRC
4 Department of Electronic Engineering, City University of Hong Kong - Hong Kong SAR, PRC
Received: 2 May 2013
Accepted: 13 June 2013
In this paper, we investigate a networked prisoner's dilemma game where individuals' strategy-selection time scale evolves based on their historical learning information. We show that the more times the current strategy of an individual is learnt by his neighbors, the longer time he will stick on the successful behavior by adaptively adjusting the lifetime of the adopted strategy. Through characterizing the extent of success of the individuals with normalized payoffs, we show that properly using the learned information can form a positive feedback mechanism between cooperative behavior and its lifetime, which can boost cooperation on square lattices and scale-free networks.
PACS: 89.75.−k – / 02.50.Le – / 89.65.-s –
© EPLA, 2013
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.