When we started this project we wanted to make a computational model using a simple mathematical problem. We also wanted to use a subject that affected many people and was widely known. Using this information it seemed like the subject of breast cancer was all around us.

Once we chose the subject of breast cancer we began to think about what angle we wanted to take. We found that identifying the spread of breast cancer could help identify how the disease works. As we took this idea we also wanted to make it realistic, taking in factors such as age and genetics. We started off making a random population using the StarLogo agent-based modeling program. Then we went on to give them breeds of male and female. Obviously they would have to meet the opposite sex, become a couple, and reproduce. Although they can move randomly on their own they can only reproduce with their partner.

The major factors affecting this model were breast cancer statistics and population genetics. We programmed in the real statistics from our research on how many people inherit the mutated gene for breast cancer as well as what percentage will die from breast cancer. This model also took into account the factors affecting population equilibrium, such as genetic drift or mutation. The population in this model maintained equilibrium except for manipulation of the breast cancer gene.

The program that we wrote effectively displayed the breast cancer gene and how it is spread through genetics. We feel that this is a realistic and useful model. We ultimately were successful and feel that this could be used to better grasp the spread of this disease.