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作 者:芮海燕 高长春[1] 章瑞[3] 汤兵勇[1] RUI Hai-yan;GAO Chang-chun;ZHANG Rui;TANG Bing-yong(Glorious Sun School of Business and Management, Donghua University, Shanghai 200051,China;East China Architectural Design & Research Institute,Shanghai 200041, China;Shanghai University of Engineering Science, School of Management Studies, Shanghai 201620, China)
机构地区:[1]东华大学旭日工商管理学院,上海200051 [2]华东建筑设计研究院,上海200041 [3]上海工程技术大学管理学院,上海201620
出 处:《运筹与管理》2022年第3期86-92,共7页Operations Research and Management Science
基 金:国家自然科学基金资助项目(71874027);上海市科技创新重大项目(2017-01-07-00-03-E00044);国家科技支撑计划项目子课题资助项目(2012BAH19F0403)。
摘 要:为明确智能家居创意空间系统知识协同行为实质,在研究其知识协同网络构成的基础上,考虑不同主体间协同行为的无限次重复博弈,构建知识协同行为的一般博弈模型,并利用演化博弈理论分别建立对称与非对称合作博弈模型,对系统中知识协同行为的演化过程进一步分析。研究表明,该系统运营知识资源的能力、激励强度以及协同主体知识协同运作获得的附加利益、合作次数是影响知识协同行为的关键因素;知识协同带来的纯收益与付出的初始成本是影响知识协同行为演化的重要参数。In order to clarify the essence of knowledge collaborative behavior of smart home creative space system,under the analysis of the composition of its knowledge collaboration network,this paper constructs a general game model of knowledge collaboration behavior by considering the infinite repeated game of collaboration behavior between different agents,and establishes symmetric and asymmetric cooperative game models respectively by using the evolutionary game theory to further analyze the evolution process of knowledge collaboration behavior in the system.The results show that the ability of operating knowledge resources and incentive intensity of smart home creative space system,the additional benefits and the times of cooperation are the key factors influencing the cooperative agent to take knowledge collaboration behavior;the pure profit brought by collaboration and the initial cost paid by the cooperative agent to support the collaborative operation are the important parameters affecting the evolution of knowledge collaboration behavior.
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