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Evolutionary Game Analysis on the transformation of science and technology achievements

机译：科技成果转化的进化博弈分析

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The interaction between different subjects in the transformation of science and technology achievements as well as how to coordinate their behavior are the key unsolved problems in theory research, which are also restricting the transformation speed and efficiency of science and technology achievements in the real world. The solution of these problems has an important significance for speeding up science and technology achievements transformation. By using evolutionary game theory and multi-agent modeling method, this paper built an evolutionary game model of science and technology achievements transformation and then made the analysis of decisionmaking interactions between holders and appliers as well as the system equilibrium status of science and technology achievements transformation. Based on the Matlab simulation platform, it made the evolutionary game analysis on three types of transformation tactics adopted by holders and appliers including transformation for once, cooperative transformation and non-transformation under different benefit parameters. The result shows that holders and appliers of science and technology achievements transformation will adopt one of the three types of transformation tactics and the evolutionary game result depends on the values of parameters in the benefit-payoff matrix as well as the system’s original status. The innovation of this research is to reveal the evolutionary game character of the interaction process between the two sides in science and technology achievements transformation as well as the game equilibrium tactics and it makes clear about the influencing factors and realization conditions of successful transformation which can provide a reference for accelerating achievements transformation.
机译：科技成果转化中不同主体之间的相互作用以及如何协调其行为是理论研究中尚未解决的关键问题，也制约着科技成果转化的速度和效率。这些问题的解决对于加快科技成果转化具有重要意义。运用进化博弈论和多主体建模方法，建立了科技成果转化的进化博弈模型，然后对持有人与申请者之间的决策互动以及科技成果转化的系统均衡状况进行了分析。 。基于Matlab仿真平台，对持有人和申请者采用的三种转换策略进行了演化博弈分析，包括一次转换，合作转换和不同收益参数下的非转换。结果表明，科技成果转化的持有者和应用者将采用三种转化策略中的一种，而演化博弈的结果则取决于收益-回报矩阵中的参数值以及系统的原始状态。本研究的创新之处在于揭示了科技成果转化中双方互动过程的演化博弈特征以及博弈均衡策略，并阐明了成功转型的影响因素和实现条件，可以提供加快成果转化的参考。

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