Research of the Decision-theoretic Intelligent Multi-agent Self-organization System

This research will attempt to answer these commonly asked questions from the machine learning literature. The heart of the problem is how the agents will learn the environment independently and then how they will cooperate to establish the common task. In this paper, we explain the structure of Self-organization of the intelligent agents. This agent is designed by a Bayesian network and an influence diagram. We study a multi-agent organization system. At the same time, we also analyze bi-directional learning feature. Finally, we design the system representation of the decision-theoretic intelligent agent, feedback control and adaptive control.