The paper seems very similar in principle to LSA. What you need for a
concept vector  (or position) is the application of LSA followed by K-Means
which will give you your concept clusters.

I would not knock Hutter too much. After all LSA reduces {primavera,
mamanthal, salsa, resorte} to one word giving 2 bits saving on Hutter.


  - Ian Parker

On 29 June 2010 07:32, rob levy <r.p.l...@gmail.com> wrote:

> 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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