Sorry, the link I included was invalid, this is what I meant:

http://www.geog.ucsb.edu/~raubal/Publications/RefConferences/ICSC_2009_AdamsRaubal_Camera-FINAL.pdf

On Tue, Jun 29, 2010 at 2:28 AM, rob levy <r.p.l...@gmail.com> wrote:

> On Mon, Jun 28, 2010 at 5:23 PM, Steve Richfield <
> steve.richfi...@gmail.com> wrote:
>
>> Rob,
>>
>> I just LOVE opaque postings, because they identify people who see things
>> differently than I do. I'm not sure what you are saying here, so I'll make
>> some "random" responses to exhibit my ignorance and elicit more explanation.
>>
>>
> I think based on what you wrote, you understood (mostly) what I was trying
> to get across.  So I'm glad it was at least quasi-intelligible. :)
>
>
>>  It sounds like this is a finer measure than the "dimensionality" that I
>> was referencing. However, I don't see how to reduce anything as quantized as
>> dimensionality into finer measures. Can you say some more about this?
>>
>>
> I was just referencing Gardenfors' research program of "conceptual spaces"
> (I was intentionally vague about committing to this fully though because I
> don't necessarily think this is the whole answer).  Page 2 of this article
> summarizes it pretty succinctly: http:// <http://goog_1627994790>
> www.geog.ucsb.edu/.../ICSC_2009_AdamsRaubal_Camera-FINAL.pdf
>
>
>
>> However, different people's brains, even the brains of identical twins,
>> have DIFFERENT mappings. This would seem to mandate experience-formed
>> topology.
>>
>>
>
> Yes definitely.
>
>
>>  Since these conceptual spaces that structure sensorimotor
>>> expectation/prediction (including in higher order embodied exploration of
>>> concepts I think) are multidimensional spaces, it seems likely that some
>>> kind of neural computation over these spaces must occur,
>>>
>>
>> I agree.
>>
>>
>>> though I wonder what it actually would be in terms of neurons, (and if
>>> that matters).
>>>
>>
>> I don't see any route to the answer except via neurons.
>>
>
> I agree this is true of natural intelligence, though maybe in modeling, the
> neural level can be shortcut to the topo map level without recourse to
> neural computation (use some more straightforward computation like matrix
> algebra instead).
>
> Rob
>



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agi
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