Abstract
In this paper, we sophisticated our agent model and simulated multi-agent society. Agent is designed to compress its data by the eigenvector of its data. Additionally, in order to examine the relation between images of groups and communication network, agents' societies are investigated with several parameters. Thus, this method is also designed for human-like decisions in the learning process. The simulation results indicate our real societies, such as classes, companies and so on.
