Dynamic Fuzzy Machine Learning

Fig. 7.4: The multi-agent learning model.

Based on the existing examples in the real world, we conduct cooperative multiagent learning in two steps, common learning and comprehensive learning. The definition of common learning is that we set each agent to be an independent entity in the multi-agent system. Each agent completes its own task according to a particular single learning algorithm. An agent has properties such as independence and integrity. Independence means that each agent is an independent entity that is unaffected by other agents. Integrity means that each agent has a complete capacity for learning without any help from other ...