Stochastic win-stay-lose-learn promotes cooperation in the spatial public goods game

Ming-Jian Fu and Han-Xin Yang
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Ming-Jian Fu: College of Mathematics and Computer Science, Fuzhou University, Fuzhou 350116, P. R. China2Key Laboratory of Intelligent Metro of Universities in Fujian, Fuzhou University, Fuzhou, 350116, P. R. China
Han-Xin Yang: Department of Physics, Fuzhou University, Fuzhou 350116, P. R. China4Center for Discrete Mathematics, Fuzhou University, Fujian 350003, P. R. China

International Journal of Modern Physics C (IJMPC), 2018, vol. 29, issue 04, 1-8

Abstract: In this paper, we propose a stochastic win-stay-lose-learn in which an individual is more likely to imitate one of its nearest neighbor’s strategy if its aspiration is not achieved. The results on the spatial public good game show that the cooperation can be greatly enhanced when the aspiration is moderate. Besides, we have studied the time evolution of the spatial distribution of strategies and the probability that cooperators and defectors choose to learn respectively.

Keywords: Spatial public goods game; cooperation; win-stay-lose-learn (search for similar items in EconPapers)
Date: 2018
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Citations: View citations in EconPapers (8)

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DOI: 10.1142/S0129183118500341

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