An examination of mobile agents system evolution in the course scheduling problem

This paper examines the evolution of a mobile agent system as a mechanism for solving the course-scheduling problem. In our agent model, each mobile agent represents a course (named course agent). Course agents negotiate with each other through a mechanism we define as a signboard agent. There is a signboard agent for each day of the week. Each platform represents a weekday. In the paper, the mobile agents technology is based on the TEEMA (TRLabs Execution Environment for Mobile Agents) platform. We believe that this agent approach to solving the course-scheduling problem is unique. Our initial results indicate that this approach can lead to an effective and efficient solution to the problem.