Computer Engineering and Applications ›› 2012, Vol. 48 ›› Issue (18): 231-235.

### Research on multi-Agent fuzzy Q-learning in intelligent office environment

WANG Haizhen1, LIAN Zuozheng2, TENG Yanping1

1. 1.Department of Computer, College of Computer and Control Engineering, Qiqihar University, Qiqihar, Heilongjiang 161006, China
2.Computer Center, Qiqihar University, Qiqihar, Heilongjiang 161006, China
• Online:2012-06-21 Published:2012-06-20

### 智能办公环境中多Agent模糊Q学习研究

1. 1.齐齐哈尔大学 计算机与控制工程学院 计算机系，黑龙江 齐齐哈尔  161006
2.齐齐哈尔大学 计算中心，黑龙江 齐齐哈尔  161006

Abstract: Presently, the research on intelligent office environment neglects the consideration of the building environment. In order to provide an energy-efficient, comfortable, convenient office environment for staffs, the learning method of wireless network system for intelligent office environment is studied. Namely, a multi-Agent model is established for the system, and on basis of which the improved fuzzy Q-learning algorithm is advanced, which is used to study user behavior in the environment, in order to control user action automatically. By the experiment on the ambient temperature study, the MSE（Mean Square Error） values of the improved fuzzy Q-learning algorithm and the ordinary Q are compared, and the result shows that the proposed algorithm is better.