关键词: 智能办公环境, 多智能体模型, 模糊学习算法, 自动控制, 环境温度

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.

Key words: intelligent office environment, multi-Agent model, fuzzy Q-learning algorithm, control automatically, ambient temperature