Aaron,
Thanks for helping me with a word. (Meta pattern).  But we have been going
through this kind of thing with Mike for years and years.  He doesn't get
it because he doesn't want to or can't.

The elements that I mentioned were elements.  The white color, for example,
was clearly an element of the patterns.  The fact that someone might think
that a precise form like a particular triangle of the same size and shape
had to be the finest definition of an element in some collection
of patterns doesn't make it so.  Yes we can agree on a definition of what
qualifies as an element or we can agree to disagree, but my point is that
the color white was an element that was common to every one of those
designs and there is no equivocation around that. So the difference between
the meta pattern and the pattern may not be so easy to define.
Jim Bromer

On Thu, Aug 23, 2012 at 9:55 AM, [email protected] <[email protected]>wrote:

> Where the disagreement arises is that these two are talking about
> different levels of representation. It's the difference between use ("a
> dog" or "a pattern") and mention ("the word 'dog'" or "the pattern
> 'pattern'").  Mike is insisting on a strictly use-based representation,
> looking for common elements *between* the patterns, and Jim is failing to
> point out the difference between elements and characteristics, the
> characteristics of the different patterns being the elements of the
> metapattern.
>
> -Aaron
>
> ------------------------------
> On Aug 23, 2012 7:38 AM, Ben Goertzel <[email protected]> wrote:
>
>
>
>>
>> If you want to put that mathematically, take a whole set of diverse
>> patterns – Koch curve, Mandelbrot, herringbone, cellular automaton etc .
>> etc. – and explain how the brain is able to abstract from *all of them
>> together* and recognize them collectively as “patterns”  (and not just as
>> Koch curves/herringbones etc. etc).
>>
>> Where’s the pattern in a set of diverse patterns, B & B? And where’s the
>> complexity, Jim?
>>
>
>
> that's easy, these are all obviously susceptible to lossy compression
> using algorithms native to the brain...
>
> ben
>
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