CAs have a lot of nice properties: translation invariance, locality, arbitrary population sizes, parallel computation, simplicity of implementation, and emergent complexity. Interesting to see where this line of work…
Yeah, I was thinking about symmetries <=> conservation laws because of Noether's theorem. Think of regular NN training as not having any symmetries...since they aren't baked into the model. But we can let the model…
Chris, glad you like it. I can relate to that feeling, which I also had as an undergrad. It was a big motivation for this work -- and I think the analogy can go even further. For example, there's a really cool lecun…
Author with the edgy fonts here. I think you're right ben. This gives me motivation support mobile/tablets/etc., so that'll happen soon
CAs have a lot of nice properties: translation invariance, locality, arbitrary population sizes, parallel computation, simplicity of implementation, and emergent complexity. Interesting to see where this line of work…
Yeah, I was thinking about symmetries <=> conservation laws because of Noether's theorem. Think of regular NN training as not having any symmetries...since they aren't baked into the model. But we can let the model…
Chris, glad you like it. I can relate to that feeling, which I also had as an undergrad. It was a big motivation for this work -- and I think the analogy can go even further. For example, there's a really cool lecun…
Author with the edgy fonts here. I think you're right ben. This gives me motivation support mobile/tablets/etc., so that'll happen soon