Teaching an Undergraduate AI Course with Games and Simulation
Faculty of Computing, Health and Science
School of Computer and Information Science
In this paper, we report on our experiences in using an animated competitive game with simulated physics to teach Artificial Intelligence techniques in an undergraduate computer science course. Students develop intelligent controllers for simulated vehicles, which compete with each other in a tournament. The simulation includes a real-time visualization of the contests, and the students' solutions utilise an AI toolkit that provides animated displays showing the internal workings of their controllers in parallel with the simulation. The result is a learning experience that engages students' enthusiasm, and 'helps them to development mental models of the AI algorithms.