Complex & Intelligent Systems (Aug 2023)

Evolutionary game dynamics of multi-agent systems using local information considering hide right

  • Yida Dong,
  • Xuesong Liu,
  • Tieshan Li,
  • C. L. Philip Chen

DOI
https://doi.org/10.1007/s40747-023-01172-7
Journal volume & issue
Vol. 10, no. 1
pp. 917 – 925

Abstract

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Abstract Promoting cooperation in the network has always been a focus of evolutionary game dynamics research. In this paper, a three-strategy local decision model is designed to promote cooperative behavior between agents. The hide right is introduced to accurately describe the agents which tend to choose conservative strategy to achieve stable payoffs. Agents only consider their own and non-defective neighbors’ payoffs information to make their decisions for next move. According to the adaptive dynamics, the equilibrium states under different conditions have been studied. It is found that the introduction of hide strategy helps to reduce the occurrence of defection. The conclusion of this paper will provide a reference for the cooperation promotion mechanism of selfish agents that are closer to the actual situation.

Keywords