Open AccessStudy on Evolutionary Path of University Students’ Entrepreneurship Training
Author(s) -
Dao-jian Yang,
Xicang Zhao
Publication year - 2014
Publication title -
mathematical problems in engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.262
H-Index - 62
eISSN - 1026-7077
pISSN - 1024-123X
DOI - 10.1155/2014/535137
Subject(s) - path (computing) , entrepreneurship , long jump , jump , lock (firearm) , ideal (ethics) , process (computing) , stochastic game , state (computer science) , training (meteorology) , path dependency , matrix (chemical analysis) , path dependence , computer science , mathematics education , mathematics , microeconomics , mathematical economics , engineering , economics , economic system , geography , algorithm , political science , mechanical engineering , physics , law , materials science , composite material , operating system , quantum mechanics , programming language , meteorology
Aiming at studying the evolution pattern of cultivating the ability of university students’ entrepreneurship, this paper established the payoff matrix between the university and students agent with the evolutionary economics method. The analysis of the evolution of the communication process model reveals how the choice strategy of individuals influences that of groups. Numerical simulation also demonstrates the influences of different values of decision-making parameters and the change of initial conditions on the result of evolution. It is found that the evolution path system of university students’ entrepreneurial ability has two kinds of modes: one is the ideal state; and the other one is the bad “lock” state. By adjusting parameters, we can jump out of the bad “lock” state, thus optimizing cultivation path.
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