Research On Multi-Dimension Education Immune Agent

With the development of E-Learning, education info and society info are advanced, and the requirements of society to E-Learning are higher and higher. Humanization of E-Learning courses, cultivation of creative thinking and security of education network have become the focus of hope to excellent E-Learning courses. Multi-dimension education agent is one of techniques to realize humanization of E-Learning and cultivation of creative thinking. Immune computation technique has become novel computation to simulate natural immune system in the world since 1997. These two new intelligent techniques were proposed in the research of national natural science foundation (69974043), national doctoral foundation (99053317) and Hunan natural science foundation (99JJY20062). On the other hand, AI net course project of national new century net course construction engineering (1441000) has provided good application background. This project has taken the first AI textbook Artificial Intelligence: Principles & Applications as the main content for instruction, and carefully designed E-Learning plan with ICAI development knowledge and agent technique. This paper proposed model, architecture and immune computation principle of multi-dimension education agent with the education content of AI course, and then analyzed traits and advantages to develop net course with multi-dimension education immune agent. At last, the application and programming of multi-dimension education immune agent were introduced with the example of designing and developing AI net course prototype.This paper is organized as the following: Chapter 1 proposed the concepts of multi-dimension education agent, introduced 3-dimension model, principle and characteristics of multi-dimension education agent, and established student model, script model and distributed education system based on multi-dimension education agent technique. Chapter 2 created information structure model of education network, and then analyzed properties, architecture and agent building of education network model. Chapter 3 showed designing methods and simulation of immune algorithm for multi-dimension education agent, and analyzed roles of immunity to network security. Chapter 4 exemplified application methods of multi-dimension immune agent with prototype development of AI net course.