A study of new graduate employment market in artificial society

Abstract

We focused the problem of the new graduate market in Japan, where there is the gap of required level between the companies and the students. Then we proposed the multi agent simulation system with reinforcement learning, and found the preferable support plan for the smooth job match making. It was effective to courage the students, whose abilities were medium to low level, at the final stage of the job searching period.