Electronic Science and Technology ›› 2021, Vol. 34 ›› Issue (3): 22-27.doi: 10.16180/j.cnki.issn1007-7820.2021.03.005

Previous Articles     Next Articles

Influences of Historical Rate of Interest on the Evolutionary Joint Production Game in Complex Networks

WU Fengyan1,LIU Gequn2,TAO Feng1,GU Dongqing3,4,LIU Xiaokun3,4,ZHANG Wei1   

  1. 1. School of Optical-Electrical and Computer Engineering,University of Shanghai for Science and Technology,Shanghai 200093,China
    2. University of Shanghai for Science and Technology,Shanghai 200093,China
    3. Shanghai Engineering Research Center of Space Robotics,Shanghai 201109,China
    4. Aerospace System Engineering Shanghai,Shanghai 201109,China
  • Received:2019-12-05 Online:2021-03-15 Published:2021-03-10
  • Supported by:
    Shanghai Aerospace Science and Technology Innovation Foundation(SAST2018-022);Shanghai Natural Science Foundation Project(19ZR1455600)


Researching on the cooperative behavior of independent individuals in evolutionary games has always been a challenge.In view of the problem of cooperative evolution, the effect of memory in strategy updating on the emergence of cooperation in joint production game is studied in this paper. The memory factor u is introduced, and the weighted average return of interest in the nearest two rounds is adopted as a basis for strategy update. Then, Fermi dynamics is used to update strategies by pairwise-comparison. Monte Carlo simulation is applied to analyze the relationship between cooperative rate and profit coefficient under the effect of memory factor and fixed cost, and the evolution curve of cooperative rate over time. The relationship between network mechanism and cooperative rate under the memory factor are analyzed. The proposed study finds that the increase in cooperative rate is positively related to the value of memory weight. Additionally, increasing the effect of historical memory can significantly promote group cooperation and reduce the threshold of profit coefficient required for stable fraction of cooperators to appear. This law is also universal on BA network, ER stochastic network and two-dimensional lattice network.

Key words: complex network, cooperative evolution, joint production game, memory factor, simulation

CLC Number: 

  • TN-9