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相对于主要采用均衡模型和优化方法的主流经济学,基于主体的计算经济学(AgentBased Computational Economics,ACE)具有能够联系微观机理与宏观现象的优点,在新熊彼特领域有着广泛的应用。本文介绍了ACE的基本概念框架并比较了几种主流仿真平台,从微观(企业及组织机构知识流管理、企业创新内生影响因素)、中观(供应链协调优化、产业集群形成与演化)、宏观(区域及国家创新系统中的创新扩散、创新政策仿真)三个层面对相关研究进行梳理与综述,分析了ACE的应用前景与发展趋势。
Compared with mainstream economics, which mainly adopts the equilibrium model and optimization method, ACE has the advantages of being able to contact the micro-mechanism and macro-phenomena and has a wide range of applications in neo-Schumpeterian field. This paper introduces the basic conceptual framework of ACE and compares several mainstream simulation platforms. From the perspective of micro (the knowledge flow management of enterprises and organizations, the endogenous influencing factors of enterprise innovation), the concept of coordination (optimization of supply chain, the formation and evolution of industrial clusters) , Macroscopical (diffusion of innovation in regional and national innovation systems, innovation policy simulation), the paper summarizes related research and analyzes the application prospect and development trend of ACE.