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https://doi.org/10.1007/s11768-014-0038-9

has been cited by the following article:

• TITLE: Networked Evolutionary Model of Snow-Drift Game Based on Semi-Tensor Product

  AUTHORS: Lv Chen

  KEYWORDS: Snow-Drift Game, Semi-Tensor Product, Networked Evolutionary Games, Rewarding and Penalty Strategy

  JOURNAL NAME: Journal of Applied Mathematics and Physics, Vol.7 No.3, March 28, 2019

  ABSTRACT: This paper investigates the networked evolutionary model based on snow-drift game with the strategy of rewards and penalty. Firstly, by using the semi-tensor product of matrices approach, the mathematical model of the networked evolutionary game is built. Secondly, combined with the matrix expression of logic, the mathematical model is expressed as a dynamic logical system and next converted into its evolutionary dynamic algebraic form. Thirdly, the dynamic evolution process is analyzed and the final level of cooperation is discussed. Finally, the effects of the changes in the rewarding and penalty factors on the level of cooperation in the model are studied separately, and the conclusions are verified by examples.