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高校科研创新与管理的演化博弈分析
引用本文:刘旭旺,汪定伟,齐微.高校科研创新与管理的演化博弈分析[J].运筹与管理,2019,28(4):48-55.
作者姓名:刘旭旺  汪定伟  齐微
作者单位:1.河南大学 商学院 管理科学与工程研究所,河南 开封 475004;2.东北大学 信息科学与工程学院 系统工程研究所,辽宁 沈阳 110004
基金项目:国家自然科学基金资助项目(71601071);教育部人文社科青年基金 (15YJC630079);河南省科技发展计划软科学项目(172400410069);中国博士后基金第62批面上项目(2017M622338)和河南省高等学校青年骨干培养计划(2018GGJS022);河南省政府决策研究指标课题(2018B053)和河南省博士后项目资助
摘    要:科学研究是高校的四大重要职能之一,也是一个大学综合实力的重要体现,高校对教师科研创新的激励政策和管理对全校科研氛围至关重要。以参与人有限理性为前提,本文首先分析了高校当前体制环境下影响科研工作者和管理部门决策的因素,基于演化博弈视角建立高校科研工作者与管理部门之间行为的博弈支付矩阵,构建了相关行为的复制动态方程,然后,基于演化博弈理论研究了科研人员和管理部门行为的演化路径以及影响演化的因素,研究得出了科研人员个体不同策略选择对群体行为产生的影响。为系统化、定量化的研究科研创新行为,本文基于Matlab GUI平台对科研创新与管理进行了演化仿真。系统分析了不同的初始条件和决策参数对演化结果的影响。本文的分析方法可为高校及科研管理部门提供决策支持,以适时采取适度的奖励政策,引导科研向高水平方向演化,提高高校的科研创新水平。

关 键 词:科研创新  行为运作管理  政策激励  演化博弈  行为分析  
收稿时间:2017-07-12

Study of University’s Scientific Research Innovation and Management Based on Evolutionary Game
LIU Xu-wang,WANG Ding-wei,QI Wei.Study of University’s Scientific Research Innovation and Management Based on Evolutionary Game[J].Operations Research and Management Science,2019,28(4):48-55.
Authors:LIU Xu-wang  WANG Ding-wei  QI Wei
Institution:1.Institute of Management Science and Engineering, Business School, Henan University, Kaifeng 475004, China;2.Institute of Systems Engineering, College of Information Science and Engineering, Northeastern University, Shenyang 110004, China
Abstract:Scientific research is one of the four major functions of colleges and universities, and is also an important reflection of their comprehensive strength. It is of great importance that how the universities’ management departments prepare and implement the incentive policies. When bounded rationality is taken into consideration, firstly this paper analyzes the factors affecting the decision-making of science researchers and administrative departments. It constructs a non-cooperative game model between researchers and departments, and meanwhile it obtains the replicator dynamics equations. Secondly, it analyzes the evolution paths and factors influencing strategy selection behaviors using the idea of evolutionary game. We describe the effect of individuals’ choice of policy on group behaviors. Thirdly, to maximize clarity on these behaviors, we develop a simulation system based on the evolution process and run it several times on a Matlab GUI platform, which is convenient for adjusting relevant parameters. The simulation results make explicit a wider gamut of decision-making parameters as well as start-up variants on initial conditions that determine further(possible)evolution. The methods and results presented in this paper can enhance decision-making support of administrative departments for colleges and universities. Those bodies can then choose the best incentive strategies, in order to guide the scientific research evolving towards high-level innovation.
Keywords:scientific research innovation  behavior operation management  policy incentives  evolutionary game  behavioral analysis  
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