I noticed that when your talking about AI,  your mostly taking about one neural network that should do the job. I think brains consist of a multiple of neural networks each of them playing there specialized part and be controlled by other networks deciding which allostatic state at a specific moment is most desirable and how far it's diverged from that state either programmed or decided by itself based on the reachable input it is able to get, sensory, memory and hardware based and then decide which parts of underlying networks should be more activated .  Homeostatic and allostatic states for a none evolved machine may be none, so it wouldn't do anything because it does not care, so it may be that should be programmed in. And this is probably one of many layers.