Methods of AI

Is there a difference in the end result of Artificial Intelligence created by the different methods? If the symbolic method is the purest digital form, and a hardware-based neural network is the purest analog form, we should also consider an intermediate form: a digital simulation of a hardware solution; whether it simulates the biochemistry of an actual brain or the electronics of neural net.

It's a question, though, whether these methods really have the same result. Can an AI created with the modern symbolic system really be as universal as an actual human mind? Or as an analog representation? It seems it could *become* so, but would require outside assistance to deal with completely unprecedented problems, whereas the analog system would be just as good at dealing with such things as an actual human mind.

The digital simulation of a virtual human brain also has possibilities for interesting future developments and uses.