- The purpose of this project is to explore the development of animal movement patterns and behavior characteristics through genetic algorithms and machine learning. We would like to create a system that will show us step-by-step the changes the animal models go through as they are trained.
- As this is a research based project, our goal is not to solve a problem in people’s daily lives, rather it is to explore the realm of genetic simulation and observe how animal models develop in our simulated environment.
This is a virtual simulation rendered on the Unity 3d game engine. The engine creates most of the graphical interface, with our code being written on separate script components written in C#.
Potential uses could be for further research on animal behaviors and movements. We start by simulating simple animal behaviors, but we can later add more complex behaviors. We can use the simulation to predict real-world trends.
We also hope to further development and research on genetic algorithms. Another research-based use is to push the limits of genetic algorithms when it comes to animal simulation.
- Rob Quinn - Project lead, Sim lead programmer, client communications
- Joe Sogard - Web lead, Backend programmer
- Joe Kuczek - Full stack web, SCRUM master
- Luke Oetken - Simulation programmer, Status reporter
- Andrew McKeighan - Simulation programmer
- Kenneth Black - Simulation programmer, Machine Learning