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中文摘要：
基于知识流动的视角，将区域创新网络视为个体知识搜索行为驱动的知识扩散、转移和创造的复杂自适应系统，对其发展演化的规律和特点进行研究，并建立区域创新网络演化的多主体仿真模型，对不同知识搜索行为下区域创新网络的演化特征进行分析和探讨．研究表明，个体的知识搜索方式主要包括基于“中间人”的结构性搜索和基于“声誉’’吸引的声誉搜索，而不同的类型知识搜索行为会使区域创新网络的绩效有所差别，并决定了区域创新网络的演化轨迹．
英文摘要：
The features of knowledge diffusion, transfer and creation motivated by knowledge search of agents within regional innovation networks, a type of complex adaptive systems, are studied in this paper based on the knowledge flow perspective. Then, a multi-agent simulation model is constructed, which facilitates the analysis of the evolutionary rules and characteristics of regional innovation networks motivated by different knowledge search behaviors. The research has shown that there are two types of agents＇ knowledge search： structural search based on a ＂middleman＂ and a reputation search based on ＂prestige attraction＂. Different knowledge search behaviors leads to different network performances. The evolutionary trajectory of regional innovation networks is determined by the agents＇ knowledge search.
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