Kenneth Stanley
University/Research Lab: Evolutionary Complexity Research Group at University of Central Florida
Location: (Orlando, FL)
Personal Research Web Page: http://www.cs.ucf.edu/~kstanley/
Keywords: neuroevolution, evolutionary computation, neural networks, evolutionary complexity, artificial embryogeny, generative and developmental systems, NEAT, HyperNEAT, biologically-plausible neural networks, large-scale neural networks, AI for video games
Location: (Orlando, FL)
Personal Research Web Page: http://www.cs.ucf.edu/~kstanley/
Keywords: neuroevolution, evolutionary computation, neural networks, evolutionary complexity, artificial embryogeny, generative and developmental systems, NEAT, HyperNEAT, biologically-plausible neural networks, large-scale neural networks, AI for video games
Posted on: Wednesday, May 20th, 2009
Broad Research Area: AI / Machine Learning / Robotics / Vision
Research Interests:
My 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”) and complex morphologies. Applications include autonomous control, multiagent learning, artificial life, video games, art, and music.
