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They seem to be similar to Gene Sher's TWEANNS - Topology and Weight Evolving Neural Networks - that I learned about in his 2012 book, "Handbook of Neuroevoluti
by eggy 5y ago
They seem to be similar to Gene Sher's TWEANNS - Topology and Weight Evolving Neural Networks - that I learned about in his 2012 book, "Handbook of Neuroevolution Through Erlang" (sure, it didn't pick up because Erlang ;))
Gene's specific implementation is DXNN (Discover and eXplore Neural Network) implemented in 2010 [1]
[1] https://arxiv.org/abs/1008.2412 https://arxiv.org/abs/1008.2412
- dkislyuk 5y agoSher's TWEANN work cites NEAT and HyperNEAT quite extensively — Stanley's original work here is pretty influential in the neuroevolution space!
- eggy 5y agoI missed that, thanks! I'll have to take another look. When I think of neural networks that evolve changes in their topology and the weights between those connections, over and over towards optimizing a solution to function, I get the vision of the recursive Life in Life video[1] where Conway's Game of Life is emulated in Game of Life. [1] https://www.youtube.com/watch?v=xP5-iIeKXE8 https://www.youtube.com/watch?v=xP5-iIeKXE8