End User Specification of RoboCup Teams

Creating complex agents for simulation environments has long been the exclusive realm of AI experts. However it is far more desirable that experts in the particular application domain, rather than AI experts, are empowered to specify agent behavior. In this paper an approach is presented that allows domain experts to specify the high-level team strategies of agents for RoboCup. The domain experts' speciica-tions are compiled into behavior based agents. The 1999 RoboCup World Cup provided an interesting basis for evaluation of the approach. We found that for RoboCup it is not necessary to allow a user to change low level aspects of the agents' behavior in order for them to create a range of diierent, interesting teams. We also found that the modular nature of behavior based architectures make them an ideal target architecture for compiling enduser speciications.