Authors: Joao Jacob, Rosaldo Rossetti, António Coelho, Rui Rodrigues
Sports simulation can help to assess the performance of strategies and players in a sand-boxed environment. Ultimately it can lead to improved real- life performance of actual teams if it is able to provide useful information to the team coach or manager. Many tools are now available for many different sports, most notably Soccer Server Simulator, a soccer simulator, that has already attracted many researchers from the artificial intelligence community into developing intelligent agents (soccer players) for them to form teams to play against each other in simulated matches. This paper presents a methodology for developing agents for testing and further developing the Handball Sport Simulator, which is based on the Soccer Server Simulator. The main contribution of this work is to provide a basic, expandable, agent architecture, specifically capable of playing at a Handball Sport Simulator server, while at the same time testing what features and sport?s rules of the Handball Sport Simulator have been implemented correctly.