Alan, All that is a reasonably plausible-sounding AGi approach, and sounds a lot like the AGI approach Itamar Arel is always telling me about (and similar to the broad vision of Dileep George, Jeff Hawkins, and many others)...
However, two quibbles: 1) the perceptual-hierarchy stuff that Ng and his group at Google have just reported, is only a small portion of the architecture you've sketched.... 2) You say " The first thing to note is that this is an unsupervised pattern learner. That should be pretty amazing all by itself. The second thing to note is that all it deals with are vectors of numbers. There is no reason on earth that it can't be made to work with any conceivable stimulus that can be encoded as a vector of numbers. " but obviously, functionality at classification on data with a certain sort of statistical properties (visual data) does not necessarily imply similar functionality as classification on other data with other properties.... The extent of generalizability of that network's functionality remains to be seen -- Ben On Fri, Jun 29, 2012 at 9:19 AM, Alan Grimes <[email protected]> wrote: > Ben Goertzel wrote: >> How exactly do you suggest to bridge the functionality gap between >> visual pattern recognition and all the other things human beings do? > > =) > > Setting aside problems noted as still being unsolved, here's a crude > sketch of how the system can be organized. For the sake of brevity, only > the cortical-thalamic-cortical system will be considered. > > The first thing to note is that this is an unsupervised pattern learner. > That should be pretty amazing all by itself. The second thing to note is > that all it deals with are vectors of numbers. There is no reason on > earth that it can't be made to work with any conceivable stimulus that > can be encoded as a vector of numbers. There are some serious channel > dependence problems, previously noted, but the basic process is present. > > The third thing to note is that they could run their matrix stack in > reverse and "imagine" what a face looks like. This is critical, > especially for motor control! =P > > This is your basic algorithm. The next challenge is that you need to > break channel dependence and introduce associations between patterns ie > with faces and the various representations of the word "face". I suspect > that once channel dependence is fixed, then, at some high level in the > network, these associations will emerge on their own. > > The next issue is topology. You could organize the topology like the > human brain and, in theory, it should be human equivalent. Motor control > is implemented just like perception. It builds up complex sequences of > actions from simple sequences of actions exactly as complex perceptions > are built up from simple perceptions. To do something, you just run the > stack in reverse, as mentioned above. Combined with channel dependence > and free association, you obtain arbitrary sequences of planned actions. > Actions that are fully learned become habitual (simply initiate the top > level abstraction). Other actions require an iterative system-wide > process for planning, but most of the mechanisms are already present. > > You obtain episodic memory by having a pipeline that associates > concurrent perceptions, which appears to be what the hypocampus does. > > To obtain super-human intelligence, you need to make the topology of the > system adaptive, or even accessible to the system itself. Ideally, you > want a highly redundant, highly distributed, highly parallel and highly > efficient architecture. This architecture does have a second class of > scalability issues, each matrix, at each level of abstraction is of > fixed size, There needs to be a process that simplifies and consolidates > knowledge to a more ideal representation. At that point you're off the > edge of the (metaphorical) napkin I sketched this all out on. =P > > About 80% of everything else you need is already available off the > shelf, the other 20% might have some important, perhaps even difficult, > challenges but then we're talking about emotions and motivation instead > of intelligence. > > -- > E T F > N H E > D E D > > Powers are not rights. > > > > > > ------------------------------------------- > AGI > Archives: https://www.listbox.com/member/archive/303/=now > RSS Feed: https://www.listbox.com/member/archive/rss/303/212726-11ac2389 > Modify Your Subscription: https://www.listbox.com/member/?&; > Powered by Listbox: http://www.listbox.com -- Ben Goertzel, PhD http://goertzel.org "My humanity is a constant self-overcoming" -- Friedrich Nietzsche ------------------------------------------- AGI Archives: https://www.listbox.com/member/archive/303/=now RSS Feed: https://www.listbox.com/member/archive/rss/303/21088071-c97d2393 Modify Your Subscription: https://www.listbox.com/member/?member_id=21088071&id_secret=21088071-2484a968 Powered by Listbox: http://www.listbox.com
