A mechanical neural network learns to respond to its environment
1–10 of 19 posts
Re: A mechanical neural network learns to respond to its environment
#2Re: A mechanical neural network learns to respond to its environment
#3Re: A mechanical neural network learns to respond to its environment
#4I don't understand the advantage of this over just having a digital NN and then pushing the output to some electric motor?
Re: A mechanical neural network learns to respond to its environment
#5So we're back at this kind of antropomorphization.
Re: A mechanical neural network learns to respond to its environment
#6>Learns to Respond to Its Environment So we're back at this kind of antropomorphization.
Re: A mechanical neural network learns to respond to its environment
#7I don't understand the advantage of this over just having a digital NN and then pushing the output to some electric motor?
The possible implication is, if consciousness can arise in a digital neural net, it can also arise in a mechanical system, you just need enough of levers and gears connected in a certain way.
Re: A mechanical neural network learns to respond to its environment
#8Re: A mechanical neural network learns to respond to its environment
#9I don't understand the advantage of this over just having a digital NN and then pushing the output to some electric motor?
A NN implemented on a digital computer is a fixed way of varying the electrical field of the CPU (etc.) given (eg.,) an SSD state which produces a fixed way of varying (eg.,) a motor.
This is very (very) far away from adaptive motion at the "tissue" level.
The semi-mystical notion that a NN is a kind of "programming of reality" is false: just as a NN running on a CPU cannot perform nuclear fusion, it likewise, cannot produce material adaptation.
It is an open question whether any non-organic material is adaptive, and I'd bet against it.