A tutoring system for Computational Intelligence course

Abstract

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.