So, in generative encodings in GAs, the principle is simlar. An indirect (or generative) encoding is where one gene can represent an aspect of a developmental p

So, in generative encodings in GAs, the principle is simlar. An indirect (or generative) encoding is where one gene can represent an aspect of a developmental process instead of directly specifying each component. I haven't heard of generative encoding before -- it sounds really cool. I could imagine something similar done with Genetic Programming. You could design a DSL (domain specific language) that is capable of building Neural Nets and then perform GP on programs written in the DSL. This could take the pressure off having to design a good development algorithm -- the GP would would do that for you.