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by defrex
1599 days ago
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Author here. I've been thinking about minimal models of evolution. I concluded that you need information to be copied with some transformation, some death, and a way for the information in question to encode its ability to avoid death. In trying to simulate that, neural networks were a good fit since they are universal function solvers. I definitely took some inspiration from NEAT[0], though I'm not using any form of crossover. AMA [0] https://en.wikipedia.org/wiki/Neuroevolution_of_augmenting_t... |
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