| Summary: | 碩士 === 國立中山大學 === 資訊管理學系研究所 === 100 === Wealth distribution is an important issue in Economics, especially wealth inequality. There are no absolutely perfect solutions to this issue long times ago. Despite we are in 21 century, the situation are getting worse and hard to resolve. We focus on developing an agent simulation model based on Evolutionary game and Scale-free network. From this model, we observed some phenomena in wealth distribution by changing the network structure. And we experiments 5 strategies to increase the connectivity of agents in network, which increasing the edges to fully-connected network or increasing the edges between two different groups. After these experiments, we find that the increasing of connectivity in the network is positive to the agents’ wealth accumulation which means we build more relationship with the other people is benefit to our wealth accumulation. Furthermore, we divide the agents in the simulation to three groups: the poor, the middle class and the rich. In the group simulation, we find that increasing the connectivity inside the poor group is the best way to decrease the Gini coefficient and wealth inequality.
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