集群创新网络演化的动力模型及其仿真研究

Dynamical model and simulation for the evolution of industrial cluster innovation network

理解集群创新网络的演化动力及其演化特征对于提升地区竞争力有重要现实意义。本文依据复杂适应系统理论建立了环境—行为模型,并运用仿真和实证相结合的方法对集群创新网络的演化过程进行了模拟研究。结果表明创新主体为了适应环境变化不断调整自身行为规则从而导致了集群创新网络的涌现,同时,集群创新网络的演化过程具有小世界、集聚等复杂性特征。

An important artifice for catching on the evolvement characters and influence complications of industrial cluster innovation network evolvement is to upgrad the area competition advantage.The models of circumstance-action are proposed and simulation of the evolvement process of industrial cluster innovation network is conducted by applying the simulation methodology based on a complexity adaptive system theory.It shows that innovation agents adjust action rules themselves constantly in order to adapting the circumstance,which results in the emergence of innovation network.At the same time,the evolution of industrial cluster innovation network possesses the characteristics of small-world and convergence.