*So – straight question – what are you saying? – we need logic plus
adaptations for complexity? *
**
Well, I already said that AI needs IO and that logic is inadequate.  I feel
that the substantial argument for GA's and the argument for NN's are that
they can create novel combinations (of referents to the IO Data
Environment) which can then be used and tested for effectiveness.  I do not
feel that GA's or NN's are - in themselves - adequate for genuine AGI
either.  There are many ways we could create novel combinations of
components and test them for effectiveness.

When I talk about combinations of components I am not just talking about
pre-defined combinations.  So, looking at the visual field, one can create
novel combinations of pixels to represent something that you have never
seen before (ie a new image that captures your imagination partly because
it is a little unusual in some way.)  So while the color values of a pixel
may be predefined it should be clear that there are combinations of pixels
that would create an image that you had never seen before.

It is true that microscopic colors (like oil paint) can create combinations
that go far beyond anything that a pixel can represent, but if we wanted
our pixels to represent those microscopic particles of paint we could
combine the concept of the pixel with the concept of the relations of scale
and, given enough data space, create a microscopic approximation to the
painting.  (I once got in trouble at the Metropolitan Museum of Art in NYC
because I wanted to get my eyes as close as I could to a Vermeer.  -There
are only 17 known Vermeer's in existence.-  I wanted to see if the image
became more cartoonish as I got closer and I found that it did.  But I had
to get my eye right next to the painting before it became obviously
cartoonish. I wasn't able to see this in the images of his paintings that I
had access to at the time.)  So scale is something that can be important in
some cases.

So, the microscopic particles of paint (and oil or other base) will hold
far more information than one set of pixels, but by combining and
appropriately relating the cogitative representation of 'scale' with the IO
representation of 'pixel' we can approximate that level of detail.  The
simple fact is that if you casually look at a Vermeer you won't be seeing
the microscopic mixtures of particles anyway so rough approximations should
be enough as long as you have the opportunity to make better approximations
as you need to.

So the only thing I would say is absolutely necessary is a facility to
create novel combinations of components, a method that can create the
relations between combinations to make it so they can be used effectively
for some purpose and the ability to create novel components from this
process.

I believe a substantial improvement in combinatorial complexity would make
more powerful AGI feasible. However, a substantial improvement would only
require a small step in mathematics.  It is a difficult problem to solve
but it is a simple problem.  I don't think you, Mike, have seen how this
could make a difference but it would just because it is such a primal
problem.  If it is a solvable problem then it is a problem that permeates
all areas of computer science.  But, the thing is, the application of a
solution would show an exponential increase in magnitude for big data
problems as compared to the way things are done today.  And AGI is a big
data problem.

Jim Bromer


On Sat, Nov 10, 2012 at 8:49 AM, Mike Tintner <[email protected]>wrote:

>   *Jim: It seems obvious that pure logic is insufficient to represent AGI*
> **
> *So – straight question – what are you saying? – we need logic plus
> adaptations for complexity? *
> **
> *And, if anyone else is interested, what are the other basic positions on
> this?  We need the cognitive synergy of yoking separate algorithms, maybe
> incl. GA’s (Ben)?  What’s Richard saying (I’ve forgotten) ... we need
> stochastic processes too ?*
> **
> *Everyone wants to take current technology and extend it with some other
> stuff – fair?*
> **
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