17 Hypercube-based NEAT (HyperNEAT) Builds on work on NEAT, starting around 2009. HyperNEAT extends NEAT by adding: • Mechanism simulating biological development • Indirect evolution – the developmental program is evolving, not the ANN itself • Substrate – ability to take advantage of spatial geometry of the problem domain Stanley, K. O., D’Ambrosio, D. B., & Gauci, J. (2009). A Hypercube-Based Encoding for Evolving Large-Scale Neural Networks. Artificial Life, 15(2), 185–212. Gauci, J., & Stanley, K. O. (2010). Autonomous Evolution of Topographic Regularities in Artificial Neural Networks - Neural Computation, 22(7), 1860–1898.