0 ridiculous about it.

It's totally to the point.

A problem about mathematical series, which you offer,  is not an adaptive/AGI 
problem. I assume that your machine knows about series. All AI machines will 
continually be presented with "unseen" problems. A simple calculator will 
encounter sums that it has never seen before. But they are "expected." and in a 
very general way "predictable."  The calculator or AI machine has ways of 
dealing with them. It has a set of rules that allow it to deal with a vast 
number of previously unseen situations/ problem variations. Similarly an AI 
that deals with series will be able to deal with all kinds of hitherto unseen 
series.

A truly adaptive/AGI problem is where your existing ways don't work, your rules 
simply don't apply, and the problem is not only unseen but unexpected

*Problem: fit these pieces into that case -    but the pieces just don't fit, 
they occupy a larger area than the case -w hat do you do now?

*Problem: shore up a leaking dam -  so, if you're a beaver, you keep doing what 
you should - shoring with stones and branches, - but the dam still keeps 
leaking - what do you do now?

*Problem:  "remove six matches to form ten"  -   you have three sets of five 
matches each, and you must take away six matches - but that will leave 9 
matches not ten.. what do you do now?

A true AGI - like the human or animal brain - has the capacity to cope with 
such divergent, unexpected problems, which require it to produce altogether 
new, as yet unestablished ways of reaching goals from within its existing 
database/world model. That is the essence of AGI, and how the human brain 
achieves it is what has to be explained. You seem to be interested only in 
basic AI.
. 
----- Original Message ----- 
  From: Mark Waser 
  To: [email protected] 
  Sent: Wednesday, May 02, 2007 11:18 PM
  Subject: Re: [agi] rule-based NL system


  >> No it's not "prediction" - nothing can predict the unexpected.

      Unexpected is *totally* different from previously unseen.  If you've seen 
that 1, 3, 5, 7, 9, & 11 are large & black and that 2, 4, 6, 8, 10 & 12 are 
small & red but you've never seen 13, you still have expectations about it and 
can make (what is likely to be very good) predictions about it.

  >> What distinguishes divergent vs convergent intelligence (AGI vs AI)  is 
the ability to find new ways of overcoming new [previously unseen/unexpected] 
obstacles to your goals -  when your current database/ world model has nothing 
immediately to offer.

      Then what *are* you using if your current database/world model has 
"nothing" to offer.  It *has* to be offering something -- like suggested plans 
to try or ways to get more information.


  Please take the time to try to understand what I'm saying rather than putting 
up ridiculous strawmen.
    ----- Original Message ----- 
    From: Mike Tintner 
    To: [email protected] 
    Sent: Wednesday, May 02, 2007 6:05 PM
    Subject: Re: [agi] rule-based NL system


    MW:  the fact that prediction of previously unseen things is critical to 
intelligence. 

    No it's not "prediction" - nothing can predict the unexpected.

    What distinguishes divergent vs convergent intelligence (AGI vs AI)  is the 
ability to find new ways of overcoming new [previously unseen/unexpected] 
obstacles to your goals -  when your current database/ world model has nothing 
immediately to offer.

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