Ken Stanley & Jim have a wide-ranging talk about one of his co-authored papers, "Designing neural networks through neuroevolution". They cover neuroevolution dynamics, resistance to evolutionary thinking in AI, the evolutionary timescale, understanding genetic algorithms, neural networks & their role in neuroevolution, Ken's unifying NeuroEvolution of Augmenting Topologies (NEAT) method, scaling NEAT, the importance of diversity in innovation, novelty search, indirect encoding, Hybercube-based NeuroEvolution of Augmenting Topologies (HyperNEAT), co-evolutionary dynamics, the evolution of learning, and much more.
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