(3D) Animation Breeder mit jeder Menge GIFs von Isabel Tweraser und Lauren Gillespie von der Southwestern University.
All art below was generated by interactive art evolution programs incorporated into MM-NEAT, a software package that evolves artificial neural networks. Each piece of art presented below was generated by a special type of neural network known as a Compositional Pattern Producing Network (CPPN).
Specifically, human subjects used interactive evolution to select the art they enjoyed the most, resulting in the generation of more art in line with their preferences.
Although the larger MM-NEAT project still retains the ability to evolve such artifacts, a simplified version of the code that focuses exclusively on interactive evolution with CPPNs is also available at github.com/schrum2/CPPNArtEvol…. This code was written by Isabel Tweraser and Lauren Gillespie as part of Southwestern University's SCOPE summer research program.