In this article the SBC++ simulator team and its overall design and scientific goals are described. Our main goal in this project is to achieve new methods of machine learning and deciding; also multi-agent behaviors such as strategy setting and cooperative learning with insistence on behavior networks. To achieve this, SBC++ uses MASM[1] model, designed by Maes, as its fundamental base. Our team uses the CMUnited-99[4] low level code with little modification. Major modification and improvements are in the high level code.