It's not just - oh now I recognize a pattern and can predict the next few
items. It's oh I see and understand numerous patterns all intermeshed and
have a rich knowledge base of raw and processed pattern data...and my
operators are patterns, etc..   Most stuff in the universe is patterns, but
all intertwined and mixed together. Note: pattern is an overloaded term-
there are several definitions. 

 

John

 

From: Steve Richfield [mailto:[EMAIL PROTECTED] 
Sent: Friday, May 16, 2008 9:38 PM
To: [email protected]
Subject: [agi] Pattern extrapolation as a method requiring limited
intelligence

 

Hi y'all,

 

I can still remember an incident when I was just 13 years old. I was called
into the Principal's office and asked about my poor score on an IQ test. You
see, I was the school genius with off-scale IQ, yet I had barely tested
average=100.

 

The test had been a hundred or so patterns of numbers with me having to pick
the next number from a multiple-choice list. However, I could often see
reasonable explanations to support more than one choice, and sometimes
different explanations to support ALL choices. I had asked about this at the
time of the test, and was told to "pick the answer with the simplest
explanation". I protested that they ALL had simple explanations, to which I
was instructed to "just do the best that you can".

 

I suggested that if the principal would just produce some of the test
questions, that I would gladly show him how there were many simple answers.
I suggested that the IQ test was really more of a measure of the person
creating the test rather than of the people taking the test. The principal
just shook his head and sent me back to class.

 

Now, decades later, come the present discussions about patterns, apparently
advanced along with the same lines of "thought" that was behind that IQ test
so many years ago. Pattern recognition without underlying supporting theory
is WORTHLESS (or perhaps worse) except perhaps to suggest possible
underlying theory. Any good AGI would see a limitless list of possible next
items from any real-world list.

 

Take a sequence of alternating musical notes. Does anyone here REALLY think
that someone is going to sit in Carnegie Hall and continuously play two
alternating notes just because he started out that way? Note that Fur Elise
does indeed start out that way. No, at some point, the odds of continuing
with the same two notes drops quite low. A good music composition program
might theorize the best sounding subsequent notes, and THOSE would be much
more likely than continuing with the same mindless repeating pattern.

 

No, I am NOT saying that pattern identification is worthless, just that when
used to predict rather than understand an underlying process, that it may
well be of negative value. In any case, I really can't see any value to AGI
or other efforts from success here.

 

Note the parallels with unsupervised neural networks, which seek to do much
the same. However, unsupervised NNs typically look for VARIATIONS from past
patterns rather extrapolating from them. I think that this "small"
difference is crucial.

 

Have I missed something important here?

 

Steve Richfield

 

 

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