A Tutoring System for Computational Intelligence Course

摘要：

This paper presents a novel tutoring system. A multi-agent system architecture offers a promising framework for dynamically managing teaching agents in a distributed environment which uses computational approach to producing 3D images for Computational Intelligence (CI) course teaching. One teaching example is introduced for showing the advantage of the system. It uses complex function expressions as genetic coding to form a binary tree, and all genetic operations are performed on the binary tree. Corresponding complex functions are processed by software MATLAB to form 3D images. From this example, students can learn the tree based genetic algorithm and its application in 3D images generation easily.

作者: LIU Hong

作者单位: School of Information Science and Engineering, Shandong Normal University, Jinan, 250014,China

会议类型: 国际会议

会议名称: 2009 IEEE International Symposium on IT in Medicine & Education( IEEE 教育与医药信息化国际会议)

会议地点: 济南

会议语种:英文

页码: 490-494

在线出版日期: 2009-08-14（万方平台首次上网日期，不代表论文的发表时间）