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《Journal of Systems & Management》 2014-01
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Study on the Evolution of Industry-university-research Cooperative Innovation based on Game Theory and Multi-agent Simulation

CAO Xia;LIU Guo-wei;School of Economics and Management,Harbin Engineering University;  
We build a two-stage game model of Industry-University-Research(IUR)cooperative innovation using Game Theory.Based on the model,we develop an evolutionary algorithm for the cooperative innovation networks combining the topological structure of IUR cooperative innovation network.The evolutionary simulation of IUR cooperative innovation network is implemented using Netlogo multi-agent simulation platform and the simulation reveals its dynamic evolving rules.The results indicate that:(1)the network-average-node-degree is U-shaped distributed and the number of nodes is Lshaped distributed;(2)There exists a best cooperation scale for enterprises,universities and research institutions with active cooperation strategy;(3)Preferential attachment mechanism goes against scalefree network node of innovations diffusion,and combination preferential attachment mechanism is able to promote small-world networks and random networks of innovation diffusion to the greatest extent.
【Fund】: 国家自然科学基金资助项目(70903015);; 教育部新世纪优秀人才支持计划(NCET-11-0825);; 黑龙江省普通高等学校青年学术骨干支持计划(1252G015)
【CateGory Index】: G322;F224
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