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多代理强化学习在智能教学系统中的应用
引用本文:李洋. 多代理强化学习在智能教学系统中的应用[J]. 计算机与数字工程, 2010, 38(5): 78-80,174
作者姓名:李洋
作者单位:合肥工业大学,合肥,230009
摘    要:教学的个性化和智能化是智能教学系统研究的重点和难点。文章采用智能代理技术模拟系统中学生的智能和行为方式,将强化学习理论应用于多代理体,设计了结合资格迹理论的强化学习算法,并用以生成和调整适合于每个学生个体的教学内容和教学策略。多代理体技术实现了教学的个性化,强化学习算法使得教学策略具有智能化。实验结果表明,新的算法较原有算法更为有效。

关 键 词:多代理体  强化学习  智能教学系统

Applications of Multi-agent and Reinforcement Learning in ITS
Li Yang. Applications of Multi-agent and Reinforcement Learning in ITS[J]. Computer and Digital Engineering, 2010, 38(5): 78-80,174
Authors:Li Yang
Affiliation:Hefei University of Technology/a>;Hefei 230009
Abstract:Personalized and intelligent are two focuses on the Intelligent Tutoring system(ITS).The intelligence and behavior of students are simulated by intelligent agent technology in this system,the reinforcement learning theory is applied to multi-agent body,and a new reinforcement learning algorithm is designed combining with the theory of eligibility trace.The new algorithm is used to build and develop teaching content and teaching strategies that appropriate for each student.Multi-Agent technology achieves the...
Keywords:multi-agent  reinforcement learning  intelligent tutoring system  
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