OK. so you're saying:   AGI is solving problems where you have to *devise* a 
method of solution/solving the problem  and is that devising in effect or 
actually/formally? - **

vs

narrow AI wh. is where you *apply* a pre-existing method of solution/solving 
the problem  ?

And are you happy with:

AGI is about devising *one-off* methods of problemsolving (that only apply to 
the individual problem, and cannot be re-used - at least not in their totality)

vs

narrow AI is about applying pre-existing *general* methods of problemsolving  
(applicable to whole classes of problems)?




From: rob levy 
Sent: Monday, July 19, 2010 4:45 PM
To: agi 
Subject: Re: [agi] Of definitions and tests of AGI


Well, solving ANY problem is a little too strong.  This is AGI, not AGH 
(artificial godhead), though AGH could be an unintended consequence ;).  So I 
would rephrase "solving any problem" as being able to come up with reasonable 
approaches and strategies to any problem (just as humans are able to do).


On Mon, Jul 19, 2010 at 11:32 AM, Mike Tintner <tint...@blueyonder.co.uk> wrote:

  Whaddya mean by "solve the problem of how to solve problems"? Develop a 
universal approach to solving any problem? Or find a method of solving a class 
of problems? Or what?


  From: rob levy 
  Sent: Monday, July 19, 2010 1:26 PM
  To: agi 
  Subject: Re: [agi] Of definitions and tests of AGI



    However, I see that there are no valid definitions of AGI that explain what 
AGI is generally , and why these tests are indeed AGI. Google - there are v. 
few defs. of AGI or Strong AI, period.




  I like Fogel's idea that intelligence is the ability to "solve the problem of 
how to solve problems" in new and changing environments.  I don't think Fogel's 
method accomplishes this, but the goal he expresses seems to be the goal of AGI 
as I understand it. 


  Rob
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