基于多代理模型的产学研主体协同创新行为演化博弈仿真分析

Simulation Analysis on Evolutionary Game of Cooperative Innovation Behavior Based on Multi-agent Model

为了解决产学研各方主体在协同创新合作过程中各方的收益的合理分配问题,从而达到深层次的协同创新效应,这是产学研合作各方追求的目标,高水平的协同创新行为可以衡量协同创新的深度,将演化博弈仿真加入到产学研协同创新合作过程中,引入多代理机制重点分析合作演化的初试变量设置对博弈结果的影响,并考察结果和原因。在有限理性的基础上,结合多代理思想理论和演化博弈理论,依托Netlogo平台构建模拟环境、政府政策以及产学研主体各方进行仿真,分析并验证不同参数设置下仿真实验的结果及其原因。

To solve the problem of rational distribution of the benefits of all parties in the process of collaborative innovation and cooperation and realize deeper cooperation of all parties is the goal pursued by all parties in the industry, university and research cooperation, and high-level collaborative innovation behavior can measure the depth of collaborative innovation. The evolutionary game simulation is added to the collaborative innovation cooperation process of industry, university and research institute. The multi-agent mechanism is introduced to analyze the influence of the initial test variable setting of cooperative evolution on the game results, and the results and reasons are investigated. On the basis of bounded rationality, combined with multi-agent thought theory and evolutionary game theory, simulation of environment, government policy and the main parties of industry, university and research cooperation is conducted relying on Netlogo platform, to analyze and verify the results of simulation experiments under different parameter settings and their causes.