博弈均衡理论与算法在人才培养模型中的应用

Application of Game Theory and Algorithm for Talent Training Model

为了适应社会的需求及就业市场的变化,为人才的培养模式提供科学的定量化的方法。以就业为导向,通过对人才的培养与社会的需求进行博弈分析,并针对就业为小康型的群体,建立了人才培养模式的博弈模型;最后运用博弈论均衡理论,开发出该模型的求解算法。在学校培养和社会需求的限定条件下,温饱型就业者会随机选择学习消耗函数最小值的培养模式;小康型就业者培养模式的选择和社会努力水平在点(p*,e*)双方达到了博弈均衡,保证了最低收益。通过算法示例及对博弈模型结果的分析,说明了该模型和求解算法是科学可行的、有效的,对各种人才的培养均有一定的借鉴意义。

To meet the needs of society and job markets, there has provided a scientific quantitative approach for the talents training mode. It makes a game analysis between the talents training of universities and social needs with employment-oriented, and creates a universities students training mode＇s game model. Finally using equilibrium theory＂ of game theory develops an algorithm of the model. The solution shows that within the constraints of universities＂ cultivation and job markets＂ needs, the would-be adequately-fed employers tend to adopt randomly the training pattern involving students＂ minimum energy consumption ;the potential fairly well-off enlployers＂ choice of the rai- sing pattern and the society＇s effort level meet the balance in game at the point（ p ＊ , e ＊ ）, guarantee a minimum income. Algorithm ex- ample results show that the model is scientific, feasible and effective,there is a certain reference for the talents training of different kinds.