Introduction - If you have any usage issues, please Google them yourself
The theory and techniques in mufti-agent system can be used as a novel method to analyze, design and implementation distributed open system. However, with the rapidly development of relational fields, the environment where mufti-agent systems operates in becomes more and more large, open, dynamic and uncertain. In order to adapt to complicated environment, it s urgent to introduce learning mechanism into
mufti-agent system, and build intelligent agent with self-learning ability by techniques from artificial intelligence. Learning task of mufti-agent system includes learning knowledge for decision support from data and information accumulated by machine learning methods, and game learning for establishing rules of mufti-agent collaboration, correspondence and competition. Therefore, researching machine learning and game learning methods is very important to evelopment of mufti-agent system learning.