Learning algorithms For intelligent agents based e-learning system

Requirements are the basic entity which makes the project to be successfully implemented. In the development of the software, theses requirements must be measured accurately and correctly. The requirements of the end users may be changed with respect to different individual personality. As different requirements are given by different customers, all of them cannot be processed by single software system. In such a case, it is essential to make the changes in the software systems automatically which fulfills all the requirements of the user. Such condition is met by the systems with intelligent agents. In this paper, algorithms of intelligent agents adviser agent, personalization agent and content managing agent are proposed to automatically gather the requirements of the students and fulfill them. The algorithms are structured using reinforcement learning. Theses algorithm makes the agents to sense the needs of the students and evolve in the course of their operation. These intelligent agents are applied after the deployment of the e-learning software. All the algorithms have been implemented successfully.