> I think my position is similar to Ben's; it's not really what you
> ground things in, but rather that you don't expose your limited
> little computer brain to an environment that is too complex --
> at least not to start with.  Language, even reasonably simple
> context free languages, could well be too rich for a baby AI.
> Trying to process 3D input is far too complex.  Better then to
> start with something simple like 2D pixel patterns as Ben suggests.
> The A2I2 project by Peter Voss is taking a similar approach.
>
> Once very simple concepts and relations have been formed at this
> level then I would expect an AI to be better able to start dealing
> with richer things like basic language using what it learned
> previously as a starting point.  For example, relating simple
> patterns of language that have an immediate and direct relation
> to the visual environment to start with and slowly building up
> from there.
>
> Shane

As Shane and I know, but everyone on this list may not to I'll say it
anyway, Peter Voss and I discussed this a fair bit before he started the
A2I2 project....  I think we each influenced each others' ideas about AI
teaching/training a bit, although we came into the dialogue with some fairly
similar ideas on the topic in the first place.

The big differences between the A2I2 approach and the Novamente approach
are:

1) A2I2 is much closer to a neural net approach [involving neural-gas like
stuff, and other NN methods as well, some of them innovative], whereas
Novamente occupies a middle ground between subsymbolic & symbolic approaches

2) In the A2I2 project, they're starting off right away with trying to teach
the system based on perceptual-motor experience in a simple 2D domain.  In
Novamente, we are deferring this until we have our (more complex) cognitive
infrastructure more fully implemented and tested.  [Although, in fact, Tony
Lofthouse is coding up a simple 2D training-world right now, just to test
some of the current Novamente cognitive functions in isolation, even though
the system is not yet ready for real experiential learning]


-- Ben G

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