| Abstract: | Games make excellent challenge problems for Artificial  Intelligence.  Two-player turn-based games (Backgammon, Checkers,  Chess) are easy to program, and AI players can be benchmarked against  humans of varying skill levels.  Recently, more complicated real-time  team games have received attention because of their dynamic  environments and the necessity for coordination.  The RoboCup Soccer  Simulator is the most popular and well-known of these environments.   However, the soccer simulator is restricted to only two dimensions, and  does not realistically model physics.  In 2001, Spector et al. proposed  creating a simulator of the imaginary game Quidditch from the Harry  Potter Books by J.K. Rowling.  This article describes such a simulator  and the coevolved quidditch-playing teams created for it using Genetic  Programming.  |