Employment Analysis Of College Graduates Based On Group Game Dynamics

Finding the most beneficial strategy to oneself in the process of population games within a single decision seems to be impossible,for individuals in population games are with bounded rationality.Instead of the one-time decision,the reasonable way of finding a most optimal strategy is to learn and imitate others time after time.This means that the process of decision making of participant is required to be predetermined based on the previous experience,so the idea of time-lag is introduced into the population games.For the past few years,the issue of university graduates' employment situation has attracted much attention.In particular,8.74 million university graduates in the class of2020 have been affected by the outbreak of covid-19,which has made it more difficult for them to find jobs in such a severe situation of employment.The employment process of university graduates is a typical case of population games,so it is very necessary to use the idea of collective evolution to study it.In this paper,a model of single population games in university graduates' employment choice is established based on the frame of bounded rationality,and the analysis about the process of the changing replicator dynamics of the job-seek participants in the employment market was presented according to the replicator dynamics in the theory of evolutionary dynamics.Then,the process of decision making of the participants is described based on time-lag theory,and a model of evolutionary population games with time-lag is established.The steady state of the strategy of participants under two types of systems with or without time-lag is studied,and the impact of delay on decision making is analyzed in numerical simulation.