On Wed, Mar 26, 2008 at 10:17 AM, Vladimir Nesov <[EMAIL PROTECTED]> wrote:
> > What you describe is essentially my own path up to this point: I > started with considering high-level capabilities and gradually worked > towards an implementation that seems to be able to exhibit these > high-level capabilities. At the end of my last message I referred to a > pragmatic problem. Substrate with which I now experiment is > essentially a very simple recurrent network with seemingly > insignificant tweaks. Without high-level view of how to make it > exhibit high-level capabilities I'd never look at it twice. Convincing > someone else that it is that capable will take a rather long > description, and I can well turn out to be wrong (so people have a > perfectly good reason not to listen). It seems more sensible to stick > to prototyping and wait for more solid results, either changing the > theory, or demonstrating its potential. > > -- > Vladimir Nesov > I do not know much about neural networks, but from what I read, I always felt that a recurrent network would be the only way you could feasibly get an ANN to represent (excuse my french) distinct items without absurdly huge and noisy expansions. So I am curious about what you are talking about. When you mention prototyping, you are talking about prototyping the neural network with high level concepts for easier demonstrations or something like that. I think there was some discussion about using 'labels' in neural networks on one of those links to an online video that were recently posted. Is this similar to what you mean by prototyping? Jim Bromer ------------------------------------------- agi Archives: http://www.listbox.com/member/archive/303/=now RSS Feed: http://www.listbox.com/member/archive/rss/303/ Modify Your Subscription: http://www.listbox.com/member/?member_id=8660244&id_secret=98558129-0bdb63 Powered by Listbox: http://www.listbox.com
