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。
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 personalized in ITS,and reinforcement learning algorithm makes teaching strategies with the intelligent.The experimental results show that the new algorithm is better than the original algorithm.
出处
《计算机与数字工程》
2010年第5期78-80,174,共4页
Computer & Digital Engineering
关键词
多代理体
强化学习
智能教学系统
multi-agent
reinforcement learning
intelligent tutoring system
