Agent仿真技术在科技政策决策支持中的应用  

Application of Agent Simulation in Technological Policy Making Decision Support

作　　者：赵剑冬[1] 黄战[2] 

机构地区：[1]广东技术师范学院,广东广州510641 [2]暨南大学计算机系,广东广州510632

出　　处：《科技管理研究》2012年第2期156-160,共5页Science and Technology Management Research

基　　金：广东高校优秀青年创新人才培养计划项目资助(WYM09110);广东技术师范学院科研基金项目(GDIN2011)

摘　　要：目前采用基于Agent的建模与仿真(Agent-based Modeling and Simulation,ABMS)方法建立的人工社会模型大多是概念模型或者演示模型,还不能针对现实中的具体对象进行解释和分析。首先讨论采用ABMS方法建立人工社会模型的思路,然后采用ABMS方法针对具体的广州软件产业集群进行建模,并给出企业技术创新行为的仿真描述,最终建立的计算机仿真模型可以应用于分析政府税率、创新回报率、研发周期、社会网络和研发投入比例等因素对整个软件产业集群技术创新的影响,提供科技政策制定决策支持。Most artificial society models which are built on agent -based modeling and simulation （ABMS） methodology are only concept models or demos. These models can not be used to analyze and describe the real phenomena. Firstly, the paper discusses the idea of artificial society models on ABMS, and builds the concrete model of the software industrial clus- ter of Guangzbou by using ABMS methodology. The paper also gives the simulation description of enterprise innovation be- havior in the model. The result shows that the model can be applied to policy making decision support. By the model, the effect of the change of government tax, return rate , research cycle, social network, and research investment ratio/rate on the technology innovation of industrial cluster can also be observed.

关 键 词：产业集群 仿真 人工社会 决策支持 企业 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程]