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协同创新主体合作的演化博弈及政府干预的仿真
引用本文:李林,袁也,刘红.协同创新主体合作的演化博弈及政府干预的仿真[J].运筹与管理,2018,27(6):14-20.
作者姓名:李林  袁也  刘红
作者单位:湖南大学 工商管理学院,湖南 长沙 410082
基金项目:国家自然科学基金项目(71473076):协同创新项目利益多层次多阶段动态均衡及促进政策研究
摘    要:文章首先基于演化博弈理论,研究了无政府干预下协同创新主体采取合作策略的演化博弈规律;其次基于系统动力学理论,分析了政府干预下协同创新主体采取合作策略的演化博弈规律,并构建了系统动力学模型及运用Vensim软件作出了仿真分析。仿真发现,协同创新主体间的合作主要受政府惩罚力度、采取的惩罚机制以及创新主体采取投机行为所产生的生产成本的影响。因此,政府提高惩罚力度并采用动态惩罚机制,能促使协同创新主体更快地采取合作策略进行协同创新。

关 键 词:协同创新主体  协同创新项目  演化博弈  系统动力学(SD)  
收稿时间:2016-07-01

Evolutionary Game Laws Used by Collaborative Innovation Subjects and the Simulation of Government Intervention
LI Lin,YUAN Ye,LIU Hong.Evolutionary Game Laws Used by Collaborative Innovation Subjects and the Simulation of Government Intervention[J].Operations Research and Management Science,2018,27(6):14-20.
Authors:LI Lin  YUAN Ye  LIU Hong
Affiliation:Business School, Hunan University, Hunan 410082, China
Abstract:By using the evolutionary game theory, this paper first studies the evolutionary game laws which are commonly used by collaborative innovation subjects under the non-government intervention. When there exists government intervention, the evolutionary game laws are then studied based on the theory of system dynamics and a corresponding system dynamics model is constructed. Finally, simulations are presented by applying Vensim. The results show that cooperation between collaborative innovation subjects is mainly influenced by the degree of punishment from government, punishment mechanism and the production cost of innovation subjects in speculation. Therefore, by increasing penalties and using dynamic punishment mechanisms, government can impel the innovation subjects to adopt cooperation strategies so as to achieve collaborative innovation.
Keywords:collaborative innovation subject  collaborative innovation projects  evolutionary game  system dynamics(SD)  
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