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.

Key words: scientific research innovation, behavior operation management, policy incentives, evolutionary game, behavioral analysis

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