Strategy Selection in Public Games with Punishment on Small World Network

Authors

  • Xiaoyang Wang Zhongshan Insitute,University of Electronic Science and
  • Lei Zhang School of Physics and Engineering, Sun Yat-sen University, Guangzhou,Guangdong, China
  • Xiaorong Du School of Physics and Engineering, Sun Yat-sen University, Guangzhou,Guangdong, China

Keywords:

PSO (particle swarm optimization); ISD (Iterated Snowdrift dilemma); punishment; spatial structure

Abstract

Investigation of punishment has shaken the positive role in the evolution of cooperation. However, punishment is ubiquitous in nature, and more favored by certain modern societies in particular. To explore the underlying principle of such phenomenon, we study the evolution of cooperation in the context of punishments subject to social network. The results suggest that punishment has a great effect on the evolution of cooperation. In the network structured population, highly cooperation emerged even with ordinary punishment. As the number of social neighborhood increase, the cooperation will decrease.

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Published

2017-01-01

How to Cite

Xiaoyang Wang, Lei Zhang, & Xiaorong Du. (2017). Strategy Selection in Public Games with Punishment on Small World Network. International Journal of Computer Information Systems and Industrial Management Applications, 9, 9. Retrieved from https://cspub-ijcisim.org/index.php/ijcisim/article/view/335

Issue

Section

Original Articles