> On Thu, 2002-10-31 at 01:12, Tony Lofthouse wrote: > > > > In a biological brain closely associated neurons are 'generally' close > > to each other physically. Whilst, artificial nodes and links are > > generally not. > > > > For me this seems to lose a whole layer of information. The patterns > > related to the interconnectedness are there but the information related > > to the spatial layout of the nodes is lost. > > > I'll give you a third way that breaks the dichotomy. In our model we > use a link/node structure which is not derived from NN models. One > property that was noticed early on is that if you built a natural 3D > model of the network all the links are short, connecting only to other > relatively local nodes. This wasn't a designed feature, just something > that was noticed later. The network is very dense, but always local. > It would be hard (impossible?) to implement our model without exhibiting > this type of locality.
Yes, this is an interesting point. I noticed something similar in early versions of Webmind, though we haven't done such tests on Novamente. What I did there was a) assign a sparse n-dim vector to each node in the network For instance if node 12 has only 2 links, to nodes 3 and 1, with weights w_12,3 = .5 w_12,1 = .9 then node 12 gets assigned the vector v_12 = (.9,0,.5,0,...) b) map these vectors to 2D using a Kohonen network What you get looks a lot nicer than what you'd get using a random graph... not shockingly... The (statistical) connection topology in a graph-based AI system interacting with the real world, is generally different from the statistical connection topology of a random graph. Among other properties, you do tend to get a greater amount of "local linkage" in a 2D or 3D projection. You get this even without explicit use of clustering algorithms or other neighborhood-formation-inducing tools. In Novamente our attention allocation methods tend to explicitly create/reinforce this kind of connection topology anyway.... But, a connection topology that tends to have a lot of local connections is not the same as one that really maps a 2D or 3D space, with the precision desired for processing spatial input data... -- Ben G ------- To unsubscribe, change your address, or temporarily deactivate your subscription, please go to http://v2.listbox.com/member/