复杂网络联合生产演化博弈中的历史记忆作用

doi:10.16180/j.cnki.issn1007-7820.2021.03.005

Abstract

Abstract:

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

WU Fengyan,LIU Gequn,TAO Feng,GU Dongqing,LIU Xiaokun,ZHANG Wei. Influences of Historical Rate of Interest on the Evolutionary Joint Production Game in Complex Networks[J].Electronic Science and Technology, 2021, 34(3): 22-27.

Figures/Tables 6

Figure 1.

Figure 2.

Figure 3.

Figure 4.

Figure 5.

Figure 6.

References 18

[1]	Maynard S J, Price G R. The logic of animal conflict[J]. Nature, 1973,246(5427):15-18.
[2]	Nowak M A, May R M. Evolutionary games and spatial chaos[J]. Nature, 1992,359(6398):826-829.
[3]	Nowak M A. Five rules for the evolution of cooperation[J]. Science, 2006,314(5805):1560-1563. pmid: 17158317
[4]	Gyōrgy Szabó, Christoph Hauert. Evolutionary prisoner's dilemma games with voluntary participation[J]. Physical Review E, 2002,66(1):903-917.
[5]	Carlos Gracia-Lázaro, José A Cuesta, Angel Sánchez, et al. Human behavior in prisoner's dilemma experiments suppresses network reciprocity[J]. Scientific Reports, 2012(2):325-337.
[6]	Li W J, Jiang L L, Gu C, et al. The influence of migration speed on cooperation in spatial games[J]. Journal of Statistical Mechanics: Theory and Experiment, 2017(12):3401-3413.
[7]	Chen Y S, Yang H X, Guo W Z. Promotion of cooperation by payoff-driven migration[J]. Physica A:Statistical Mechanics and its Applications, 2016(6):662-678.
[8]	Chen X, Fu F, Wang L. Promoting cooperation by local contribution under stochastic win-stay-lose-shift mechanism[J]. Physical A, 2008,387(22):5609-5615.
[9]	Nowak M A, Sigmund K. A strategy of win-stay, lose-shift that outperforms tit-for-tat in the Prisoner’s Dilemma game[J]. Nature, 1993,364(6432):56-58. doi: 10.1038/364056a0 pmid: 8316296
[10]	Chu C, Liu J, Shen C, et al. Win-stay-lose-learn promotes cooperation in the prisoner's dilemma game with voluntary participation[J]. PloS One, 2017,12(2):680-693.
[11]	Jin J H, Shen C, Chu C, et al. Incorporating dominant environment into individual fitness promotes cooperation in the spatial prisoners’ dilemma game[J]. Chaos,Solitons & Fractals, 2017,96(7):70-82.
[12]	陈维春, 尚丽辉. 基于奖励因子的囚徒困境博弈模型研究[J]. 电子科技, 2016,29(3):5-6,11.
	Chen Weichun, Shang Lihui. Research on prisoner’s dilemma game based on reward factor[J]. Electronic Science and Technology, 2016,29(3):5-6,11.
[13]	Wang W X, Ren J, Chen G, et al. Memory -based snowdrift game on networks[J]. Physical Review E, 2006,74(5):113-128.
[14]	Deng Z, Ma C, Mao X, et al. Historical payoff promotes cooperation in the prisoner's dilemma game[J]. Chaos Solitons & Fractals, 2017,10(4):1-5.
[15]	Wang X W, Nie S, Jiang L L, et al. Cooperation in spatial evolutionary games with historical payoffs[J]. Physics Letters A, 2016,380(36):2819-2822.
[16]	刘歌群, 詹志国, 胡琦, 等. 联合生产博弈模型[J]. 电子科技, 2016,29(3):1-4.
	Liu Gequn, Zhan Zhiguo, Hu Qi, et al. A joint production game[J]. Electronic Science and Technology, 2016,29(3):1-4.
[17]	詹志国. 混合更新规则下联合生产问题网络演化博弈研究[D]. 上海:上海理工大学, 2016.
	Zhan Zhiguo. Study on networked games of the joint production problems within the framework of mix-update-rule[D]. Shanghai:University of Shanghai for Science and Technology, 2016.
[18]	Szabó G, Tōke C. Evolutionary prisoner’s dilemma game on a square lattice[J]. Physical Review E, 1998,58(6):69-73.

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

RichHTML

PDF (PC)

Like

Knowledge

Abstract

Cite this article

share this article

Figures/Tables 6

References 18

Related Articles 15

Metrics

Comments

Recommended 0

[1]	LIU Jianlong,HAO Zhenghang. Comparative Study of Wind Power System Simulation Based on Back-to-Back Converters [J]. Electronic Science and Technology, 2022, 35(2): 67-73.
[2]	YUAN Xianpu,MIAO Xiaodan,YANG Jian,YUAN Tianchen,YUAN Ding. Aerodynamic Noise Analysis for High-Speed Train’s Pantograph and Study on Noise Reduction of the Cavity of Pantograph [J]. Electronic Science and Technology, 2022, 35(1): 45-52.
[3]	CHEN Jiaming,WANG Lihua,SU Xiaohang. Research on Mechanical Characteristics of Railway Bridge Ballast Bed Based on ADAMS [J]. Electronic Science and Technology, 2022, 35(1): 53-59.
[4]	WANG Yumei,ZHANG Zihan,WANG Hao. Large-Disturbance Stability Analysis of DC Microgrid Based on Mixed Potential Function [J]. Electronic Science and Technology, 2022, 35(1): 66-72.
[5]	NIU Shuaichen,WANG Fuzhong,HAN Yaofei,HE Guofeng,NIU Yeke. Control Strategy of Modular Multilevel Converter Under Unbalanced Grid Voltage [J]. Electronic Science and Technology, 2022, 35(1): 80-86.
[6]	LI Gang. A Synthesis Method for Dual-Band Filters with Frequency Variant Couplings [J]. Electronic Science and Technology, 2022, 35(1): 1-5.
[7]	SHI Hui,TONG Dongbing. The Asymptotic Synchronization of Neutral Complex Networks with Adaptive Pinning Control [J]. Electronic Science and Technology, 2021, 34(9): 12-16.
[8]	HAN Shifan,FU Dongxiang. Research on Optical Lens Reconstruction Algorithm Based on NURBS [J]. Electronic Science and Technology, 2021, 34(9): 24-29.
[9]	WANG Yang,WANG Yagang. Identification Method Based on Step Response and Genetic Algorithm to Optimize Higher-Order Plus Time-Delay Model [J]. Electronic Science and Technology, 2021, 34(9): 41-46.
[10]	LI Yudong,LIAN Haishan,HU Xiaodan. AC/AC Frequency Conversion Power Supply Based on Three-Phase Input [J]. Electronic Science and Technology, 2021, 34(9): 47-53.
[11]	YAN Zhenbin,ZHENG Bochao,ZHOU Zhiyong. Research on Grid Connection of Photovoltaic Power Generation Systems Based on a New Robust Droop Control Method [J]. Electronic Science and Technology, 2021, 34(8): 79-86.
[12]	TANG Shengnan,LÜ Yibin,WANG Yingzi,FANG Jinli,WU Dean. Hybrid Iteration Method for Number Conformal Mapping of Multi-Connected Domain [J]. Electronic Science and Technology, 2021, 34(7): 13-18.
[13]	ZHANG Fei,LIN Mao,MAO Hongkai,SU Fangwen,SUI Jinchi. An AlGaN/GaN High-Electron Mobility Transistor with N-Buried Layer [J]. Electronic Science and Technology, 2021, 34(5): 61-65.
[14]	HE Yue,ZHANG Jianhua,CHEN Yan,HAN Chunyong,SHI Yunlei,SHAO E. Study on Radiation Response Characteristics of Internal Cables of Frequency Equipment [J]. Electronic Science and Technology, 2021, 34(3): 18-21.
[15]	HE Qiang,YANG Qinghui,ZHANG Huaiwu. A Control Method of Power up Bias Sequence of Radio Frequency Amplifier [J]. Electronic Science and Technology, 2021, 34(2): 1-6.