孟中印缅科技合作演化博弈研究
A Study on the Evolutionary Game of BCIM Science and Technology Cooperation
摘要: 受古代丝路之路思想影响，孟中印缅经济走廊的科技合作从2013年后就逐渐被提上了议程。本文主要采用研究孟中印缅科技合作的演化博弈路径。首先，根据前提假设建立适应度函数，进一步得出复制动态方程。其次对各国进行综合的演化均衡分析，并探究在不同初始概率下各国科技合作演化博弈的情形。然后通过仿真模拟的方式对该系统的演化博弈路径进行分析，并采用例证方式来验证该算法的可行性。最后，给出孟中印缅经济走廊科技合作的政策建议。
Abstract: Influenced by the ancient Silk Road thought, the science and technology cooperation of BCIM economic corridor has been put on the agenda since 2013. This paper mainly uses the evolutionary game path to study the science and technology cooperation of BCIM. Firstly, according to the premise hypothesis, the fitness function is established, and the complex dynamic equation is further obtained. Secondly, the evolution equilibrium of each country is analyzed comprehensively, and the evolution of science and technology cooperation under different initial probabilities is explored. Then the evolutionary game path of the system is analyzed by simulation, and the feasibility of the algorithm is verified by examples. Finally, the policy suggestions of science and technology cooperation in the BCIM economic corridor are given.
文章引用：邓磊. 孟中印缅科技合作演化博弈研究[J]. 运筹与模糊学, 2021, 11(2): 206-215. https://doi.org/10.12677/ORF.2021.112025

参考文献

[1] Bauso, D. (2016) Game Theory with Engineering Applications. Society for Industrial and Applied Mathematics, Philadelphia. [Google Scholar] [CrossRef] 
[2] Garde, R., Ewald, J., Kovács, Á.T. and Schuster, S. (2020) Modelling Population Dynamics in a Unicellular Social Organism Community Using a Minimal Model and Evolutionary Game Theory. Open Biology, 10, Article ID: 200206. [Google Scholar] [CrossRef] [PubMed]
[3] Hsee, C.K., Zeng, Y., Li, X. and Imas, A. (2021) Bounded Rationality in Strategic Decisions: Undershooting in a Resource Pool-Choice Dilemma. Management Science, 2, 3814-3849. [Google Scholar] [CrossRef] 
[4] Li, X. and Li, J. (2021) A Freight Transport Price Optimization Model with Multi Bounded-Rational Customers. Transportation, 48, 477-504. [Google Scholar] [CrossRef] 
[5] Marshall, A. (1948) Principles of Economics. 8th Edition, Macmillan, London.
[6] Zou, Y., Huang, B., Meng, Z. and Ren, W. (2021) Continuous-Time Distributed Nash Equi-librium Seeking Algorithms for Non-Cooperative Constrained Games. Automatica, 127, Article No. 109535. [Google Scholar] [CrossRef] 
[7] Liu, L.P. and Jia, W.S. (2021) An Intelligent Algorithm for Solving the Efficient Nash Equilibrium of a Single-Leader Multi-Follower Game. Mathematics, 9, Article No. 454. [Google Scholar] [CrossRef] 
[8] 韩帅, 陈红, 龙如银. 基于PT-MA理论的煤矿安全群体行为演化博弈分析[J]. 运筹与管理, 2017, 26(11): 77-86.
[9] 王元卓, 于建业, 邱雯, 沈华伟, 程学旗, 林闯. 网络群体行为的演化博弈模型与分析方法[J]. 计算机学报, 2015, 38(2): 282-300.
[10] Zhang, R., Wei, Z., Gu, H. and Qiu, S. (2021) Behavior Evolution of Multi-Group in the Process of Pedestrian Crossing Based on Evolutionary Game Theory. Sustainability, 13, Article No. 2009. [Google Scholar] [CrossRef] 
[11] Tao, Z., Wang, B. and Shu, L. (2021) Analysis on the Procurement Cost of Construction Supply Chain based on Evolutionary Game Theory. Arabian Journal for Science and Engineering, 46, 1925-1940. [Google Scholar] [CrossRef] 
[12] Kaushik, B. (1995) Civil Institutions and Evolution: Concepts, Critique and Models. Journal of Development Economics, 46, 19-33. [Google Scholar] [CrossRef] 
[13] 孙庆文, 陆柳, 严广乐, 车宏安. 不完全信息条件下演化博弈均衡的稳定性分析[J]. 系统工程理论与实践, 2003, 23(7): 11-16.
[14] 吴昊, 杨梅英, 陈良猷. 合作竞争博弈中的复杂性与演化均衡的稳定性分析[J]. 系统工程理论与实践, 2004, 24(2): 90-94.
[15] 张良桥, 冯从文. 理性与有限理性: 论经典博弈理论与进化博弈理论之关系[J]. 世界经济, 2001, 24(8): 74-78.
[16] 汪勇杰, 陈通, 邓斌超. 政府补贴机制下研发外包的演化博弈分析[J]. 管理工程学报, 2017, 31(2): 137-142.
[17] 孙文娟. 中亚能源合作演化博弈分析[J]. 开发研究, 2011(3): 133-136.
[18] 王宏宇. 中国新能源企业对外直接投资研究[D]: [硕士学位论文]. 呼和浩特: 内蒙古财经大学, 2014.
[19] 李新燕. 孟中印缅经济走廊地缘经济合作研究[D]: [硕士学位论文]. 昆明: 云南师范大学, 2019.
[20] 张剑波, 李常有, 孙吉红, 周正, 沈颖鸣, 蔡名飞, 张乾隆. “一带一路”创新合作背景下云南科技创新合作行动方案研究——以孟中印缅科技创新合作为例[J]. 经济师, 2018(11): 135-137.

为你推荐