What kinds of data objects are analyzed and what does analysis imply? 
If the algorithms are not solutions to gaps or impediments then what purpose do 
they serve?
Kindly explain.
~PM
Date: Fri, 8 Feb 2013 11:33:10 -0500
Subject: Re: [agi] Could Algorithm Generators be a Feasible and Effective AGI 
Method?
From: [email protected]
To: [email protected]

On Fri, Feb 8, 2013 at 10:38 AM, Ben Goertzel <[email protected]> wrote:
"Automated program learning" is a branch of AI that seems close to what you 
have in mind...This is what the MOSES component of OpenCog attempts to do, 
though it's currently only really effective at learning simple sorts of 
programs...
-- Ben G I described a very narrow type of programming object.  An Algorithm 
Generator.  Because I was able to use such colloquial terms it is something 
that almost everyone involved with programming should be able to understand.  
Any AGI program would have to be capable of doing some automated program 
learning.  The question I was trying to explore was whether or not an explicit 
system of algorithm generators would be useful and how they might be used.  One 
might argue that any AGI program that was able to learn would effectively be 
creating (or generating) algorithms.  What I am talking about is the question 
of designing mechanisms that explicitly generate kinds of algorithms. The 
algorithms that I have in mind are not solution algorithms (per se) but 
analytical algorithms (including algorithms that analyze data objects by making 
modifications).
Jim Bromer                                        


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