cybelechild

Hi! I just came here to mention that Memrise inspired me to write both my master's and my bachelor's theses on effective learning and memory, so a big Thank you! for that.

Sure, the original is not in English, and the translation could be better, but still...

I would love to, and I'll bring drinks! For now I'm stuck in rainy Copenhagen, though :)

I hope there is time for more questions. Mine is kind of specific. So I've been using NEAT and its derivates for a few years now, and there is a thing that bothers me about hyperNEAT and ES-HyperNEAT. As i understand the idea behind having a CPPN among other things is to have smaller genomes that can create much larger phenotypes. However, pretty often I'd run in the case where a CPPN ends up being much larger than its phenotype. I think it becomes more pronounced when you add things like connection cost to the fitness. So, how do you overcome such things and minimize the genome as well as the phenotype? I guess including yet another objective about that is an option ...

Thanks in advance! I hope my question makes sense