加强学习算法的智能多代理在远程教学中的应用

Application of Reinforcement Learning-based Multi-agents in Distance Learning

基于ＷＷＷ的远程教学系统可以被多个用户同时访问，并且系统内部一般都包含多个独立教学模块，因此很适合于用人工智能领域中的多代理技术来刻画。文章在研究基于加强学习算法的多代理系统基础上，设计开发了一种基于智能多代理技术的远程教学模型，此模型能够实现基于ＷＷＷ的远程教学系统的智能性和自适应性。

Web-based distance-learning environment can be simultaneously visited by multiple users and generally be comprised of several independent teaching components, so it can be described by multi-agents technology. In this paper, we first study the reinforcement learning-based multi-agents and then present a distance-learning model based on multi-agents. Through this model we can implement adaptive and intelligent distance learning.