I still don't really get it, sorry... ;-(

Are you saying

A) that a conscious, human-level AI **can** be implemented on an ordinary
Turing machine, hooked up to a robot body

or

B) A is false

???

If you could clarify this point, I might have an easier time interpreting
your other thoughts?

I have no idea how you are defining such terms as "abstract symbol
manipulation" or "model".  Also, I wonder if these terms have to do with
what a software system does, or with how you personally choose to
analyze/interpret a software system.

ben g

On Wed, Oct 15, 2008 at 1:16 AM, Colin Hales
<[EMAIL PROTECTED]>wrote:

>  Ben Goertzel wrote:
>
>
> Sure, I know Pylyshyn's work ... and I know very few contemporary AI
> scientists who adopt a strong symbol-manipulation-focused view of cognition
> like Fodor, Pylyshyn and so forth.  That perspective is rather dated by
> now...
>
> But when you say
>
> "
> Where computation is meant in the sense of abstract symbol manipulation
> according to rules. 'Rules' means any logic or calculii you'd care to cite,
> including any formally specified probablistic/stochastic language. This is
> exactly what I mean by COMP.
> "
>
> then things get very very confusing to me.  Do you include a formal neural
> net model as computation?  How about a cellular automaton simulation of
> QED?  Why is this cellular automaton model not "abstract symbol
> manipulation"?
>
> If you interpret COMP to mean "A human-level intelligence can be
> implemented on a digital computer" or as "A human level intelligence can be
> implemented on a digital computer connected to a robot body" or even as "A
> human level intelligence, conscious in the same sense that humans are, can
> be implemented on a digital computer connected to a robot body" ... then
> I'll understand you.
>
> We're really at cross-purposes here, aren't we?...this is a Colin/Ben
> calibration process.... :-) OK.
>
> By COMP I mean any abstract symbol manipulation at all in any context. The
> important thing is that in COMP there's a model of some kind of learning
> mechanism being run by a language of some kind or a "model of a modelling
> process" implemented programmatically. In any event the manipulations that
> are occuring are manipulations of abstract representation of numbers
> according to the language and the model being implemented by the computer
> language.
>
>
> But when you start defining COMP in a fuzzy, nebulous way, dismissing some
> dynamical systems as "too symbolic" for your taste (say, probabilistic
> logic) and accepting others as "subsymbolic enough" (say, CA simulations of
> QED) ... then I start to feel very confused...
>
> I agree that Fodor and Pylyshyn's approaches, for instance, were too
> focused on abstract reasoning and not enough on experiential learning and
> grounding.  But I don't think this makes their approaches **more
> computational** than a CA model of QED ... it just makes them **bad
> computational models of cognition** ...
>
>
> Maybe a rather stark non-COMP example would help: I would term non-COMP
> approach is *there is no 'model' of cognition being run by anything.* The
> electrodynamics of the matter itself *is the cognition*. Literally. No
> imposed abstract model tells it how to learn. No imposed model is populated
> with any imposed knowledge. No human involvement in any of it except
> construction. Electrodynamic representational objects are being manipulated
> by real natural electrodynamics... is all there is. The 'computation', if
> you can call it that, is literally maxwell's equations (embedded on a QM
> substrate, of course) doing their natural dynamics dance in real matter, not
> an abstraction of maxwell's equations being run on a computer....
>
> In my AGI I have no 'model' of anything. I have the actual thing. A bad
> model of cognition, to me, is identical to a poor understanding of what the
> brain is actually doing. With a good understanding of brain function you
> then actually run the real thing, not a model of it. The trajectory of a
> model of the electrodynamics cannot be the trajectory of the real
> electrodynamics. for the fields inherit behavioural/dynamical properties
> from the deep structure of matter, which are thrown away by the model of the
> electrodynamics. The real electrodynamics is surrounded by the matter it is
> situated in, and operates in accordance with it.
>
> Remember: A scientific model of a natural process cuts a layer across the
> matter hierarchy and throws away all the underlying structure. I am putting
> the entire natural hierarchy back into the picture by using real
> electrodyamics implemented in the fashion of a real brain, not a model of
> the electrodynamics of a real brain or any other abstraction of apparent
> brain operation.
>
> Does that do it? It's very very different to a COMP approach.
>
> cheers
> colin
>
>
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-- 
Ben Goertzel, PhD
CEO, Novamente LLC and Biomind LLC
Director of Research, SIAI
[EMAIL PROTECTED]

"Nothing will ever be attempted if all possible objections must be first
overcome "  - Dr Samuel Johnson



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