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, robot morphologies, building and vehicle architectures, art, and music. 

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Latest News

7/17/08: "Generative Encoding for Multiagent Learning ," by David B. D'Ambrosio and Kenneth O. Stanley won the Best Paper Award in the Generative and Developmental Systems track at the Genetic and Evolutionary Computation Conference (GECCO 2008).

5/15/08: Picbreeder gets color!

3/28/08: "Scaffolding for Interactively Evolving Drum Tracks for Existing Songs ,"  by Amy K. Hoover, Michael P. Rosario, and Kenneth O. Stanley won the Best Paper Award at the Sixth European Workshop on Evolutionary and Biologically Inspired Music, Sound, Art and Design (EvoMUSART 2008).

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