EPlex is supported with a generous gift from GIST.
Welcome to the Evolutionary Complexity (EPlex) Research Group at the University of Central Florida. Our research focuses on abstracting the essential properties of natural evolution that made it possible to discover astronomically complex structures such as the human brain. If such properties can be abstracted into computer algorithms, then they can be leveraged to automate the discovery of large-scale neural networks (which is called neuroevolution), robot morphologies, building and vehicle architectures, art, and music.
7/17/14: "A Novel Human-Computer Collaboration: Combining Novelty Search with Interactive Evolution," by Brian G. Woolley and Kenneth O. Stanley won the Best Paper Award in the Artificial Life/Robotics/Evolvable Hardware track at GECCO 2014.
4/26/13: "Evolvability is Inevitable: Increasing Evolvability Without the Pressure to Adapt," by Joel Lehman and Kenneth O. Stanley makes the top story on Science Daily. (screenshot of headline)
6/14/12: "A Unified Approach to Evolving Plasticity and Neural Geometry," by Sebastian Risi and Kenneth O. Stanley won the Best Student Paper Award at the 2012 International Joint Conference on Neural Networks (IJCNN 2012).
We aim to reproduce through artificial means the process of continual elaboration of form seen in natural evolution.