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. 

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Latest News

9/16/17: Ken Stanley's original journal paper on NEAT (co-authored with Risto Miikkulainen), Evolving Neural Networks through Augmenting Topologies (link), won the 2017 International Society for Artficial Life (ISAL) Award for Outstanding Paper of the Decade 2002 - 2012.

12/21/15: Ken Stanley answers questions from the public in a Reddit AMA ("Ask Me Anything") 

7/23/15: Ken Stanley and Joel Lehman's new book, Why Greatness Cannot Be Planned: The Myth of the Objective is featured in a story on fivethirtyeight.com fivethirtyeight.com.

Older News...


We aim to reproduce through artificial means the process of continual elaboration of form seen in natural evolution.