Teaching an Undergraduate AI Course with Games and Simulation

  • Philip Hingston
  • Barbara Combes
  • Martin Masek
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3942)


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 visualisation 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.


Computer Game Fuzzy Rule Fuzzy Variable Learning Material Fuzzy Reasoning 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Philip Hingston
    • 1
  • Barbara Combes
    • 1
  • Martin Masek
    • 1
  1. 1.School of Computer and Information ScienceEdith Cowan UniversityMount Lawley

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