Past News
Past EPlex News Items
2/24/11: Video of Ken Stanley's 2010 SPLASH keynote on "Searching Without Objectives" goes online.
7/11/10: "Evolving the Placement and Density of Neurons in the HyperNEAT Substrate," by Sebastian Risi, Joel Lehman, and Kenneth O. Stanley won the Best Paper Award in the GDS Track at GECCO 2010.
5/31/10: Both "Evolving the Placement and Density of Neurons in the HyperNEAT Substrate," by Sebastian Risi, Joel Lehman, and Kenneth O. Stanley and "Transfer Learning through Indirect Encoding," by Phillip Verbancsics and Kenneth O. Stanley were nominated for Best Paper Awards in the GDS Track at GECCO 2010. The winner of the track will be decided through voting in July.
2/1/10: Galactic Arms Race is chosen as a finalist in the Indie Game Challenge! See the IGC info page on GAR.
9/11/09: "Evolving Content In the Galactic Arms Race Video Game," by Erin Hastings, Ratan Guha, and Kenneth O. Stanley won the Best Paper Award at the 2009 IEEE Symposium on Computational Intelligence and Games (CIG 2009).
7/11/09: "How Novelty Search Escapes the Deceptive Trap of Learning to Learn," by Sebastian Risi, Sandy D. Vanderbleek, Charles E. Hughes, and Kenneth O. Stanley won the Best Paper Award in the Artificial Life, Evolutionary Robotics, Adaptive Behavior, Evolvable Hardware track at the Genetic and Evolutionary Computation Conference (GECCO 2009).
7/8/09: Galactic Arms Race is Slashdotted !
6/2/09: EPlex releases Galactic Arms Race , the first multiplayer online game in which content evolves to satisfy its users.
4/19/09: EPlex unveils the HyperNEAT Users Page, a one-stop location for information and resources on HyperNEAT from across the internet.
4/10/09: "How Novelty Search Escapes the Deceptive Trap of Learning to Learn," by Sebastian Risi, Sandy D. Vanderbleek, Charles E. Hughes and Kenneth O. Stanley was nominated for the Best Paper Award in the Artificial Life, Evolutionary Robotics, Adaptive Behavior, Evolvable Hardware track at the Genetic and Evolutionary Computation Conference (GECCO 2009).
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).
11/8/07: EPlex releases Dance Evolution, which allows you to evolve dancers to any MIDI song interactively.
8/1/07: EPlex unveils Picbreeder, a massive experiment in online collaborative interactive evolution. In Picbreeder, the user can branch of other users' creations to produce an expanding "tree of life" of novel images. Anyone can create high quality, high-resolution art without any prior experience or artistic talent. We invite you to check it out!
7/23/07: Our video on Dance Evolution won the Best Student Video Award at the AAAI-07 AI Video Competition. Congratulations to Jeff Balogh, Greg Dubbin, and Michael Do, who worked on the project as undergraduate machine learning students! The Dance Evolution program, which evolves novel dance moves, will be released at a future date.
4/11/07: HyperNEAT C++ software for evolving large-scale neural networks released. Available in the software section.
4/5/07: NEAT Particles software for interactively evolving particle systems released. Available in the software section.
3/27/07: GECCO publications on the new HyperNEAT algorithm (using connective CPPNs to create neural networks) are available here.
3/27/07: New journal paper posted: "Compositional Pattern Producing Networks: A Novel Abstraction of Development," by Kenneth O. Stanley.
3/25/07: "A Novel Generative Encoding for Exploiting Neural Network Sensor and Output Geometry", by David. B. D'Ambrosio and Kenneth O. Stanley is nominated for Best Paper Award in Generative and Developmental Systems.