No abstract

In China, with the improvement of entrepreneurial environment and increasing urban adaptation problems, entrepreneurship is a rational choice for growth. The major entrepreneurial competencies of migrant workers are professional ability, social ability and management ability, which are commonly influenced by the environment and they also influence each other. First, the paper quantitatively analyzes current situation and influencing factors of new generation migrant workers' entrepreneurship competencies by factor analysis method. The results show that their social ability is strong, professional ability less strong but management ability is weak. Secondly, based on the analysis of the influencing factors, it is expressed that the strong social ability benefits from the migrant workers' entrepreneurship support policy in Anhui Province of China; while the insufficient professional ability and management ability is caused by inequalities of education opportunity and defects in entrepreneurial education. The last part puts forward countermeasures and proposals to improve their entrepreneurship competencies.

-The assumption of game theory is that the players in game must be rational. In the game of incomplete information, participants are not completely clear about the game. Therefore, usually there is a probability distribution of strategy selection in game. It is very complicated to know the real game information of the social and economic problems. In fact, the actual situation for many problems is that game players are irrational, or the probability distribution of game players' strategies cannot be gotten, even the strategy sets are not complete (infinite strategy sets).There are many limitations in application of the traditional game theory. In this paper, the concept of complex information game and its Nash equilibrium are presented. It is proved that the complex information game problem can be solved by artificial neural network. An example on how to solve the complex information game problem with artificial neural network is given as well. Researchers hope that more and more scholars can use artificial intelligence theory to analyze the game theory problem. Therefore, the complex information game problems can be dealt more efficiently.