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In 2005 I took a sub-symbolic AI course where one of the homework assignments was to evolve a neural network using genetic algorithms. So that in itself is noth
by erokar 9y ago
In 2005 I took a sub-symbolic AI course where one of the homework assignments was to evolve a neural network using genetic algorithms. So that in itself is nothing new. The novelty of the paper seems to be the scale of the solution. Personally, I hope we'll see a little bit of revival of genetic algorithms/programming -- I think it's promosing in design (cars, aeroplanes, architecture, etc.), since it's good at finding novel solutions to optimization problems.
- fao_ 9y agoOverall the idea is about 20 years old. The earliest reference I can think of is Karl Simms work. It's pretty impressive considering how old it is: http://www.karlsims.com/evolved-virtual-creatures.html http://www.karlsims.com/evolved-virtual-creatures.html
- cameldrv 9y agoThis was the paper that excited me about neural networks in the nineties, from 92... http://liacs.leidenuniv.nl/assets/PDF/boers-kuiper.92.pdf http://liacs.leidenuniv.nl/assets/PDF/boers-kuiper.92.pdf