Ben,Well it is actually unusual for people to tell me that my theories are 
commonsense so I actually appreciate that some people do understand because 
most people do not.  Aaron made similar remarks about something that I was 
saying some months ago. I don't have ways to reduce enough of the complexity of 
the problem to actually create a full fledged AGI program but I do believe that 
I have a good enough plan in mind to create something that will be more 
powerful than contemporary AGI programs.  However, whether or not I would be 
able to do this in 2 years working part time is, of course, a question.  One 
thing I do know.  Working full time at this I ended up getting bogged down in 
the frills.  And another thing that I do know is that when someone has a new 
effective idea they can often get their idea to work in a couple of years just 
because there is something that is slightly different about their plan. Jim 
Bromer
 Date: Sat, 20 Apr 2013 13:00:39 +0800
Subject: Re: [agi] Re: Summary of My Current Theory For an AGI Program.
From: [email protected]
To: [email protected]


Jim,
I have now read your summary of your AGI thinking
My reaction is that these are fairly commonsensical cognitive-science notions.  
 There's not much to argue with here, nor do you give much meat regarding how 
any of the functions or structures you describe might actually be achieved in a 
computational (or other) system....   You also seem to leave lots of things 
out, focusing mainly on the declarative/conceptual level rather than other 
aspects of intelligence...

Basically -- and being quite frank -- I don't see any AGI design in that 
summary, just some relatively commonplace (though mainly all sensible) cog-sci 
notions...
-- Ben G


On Sat, Apr 20, 2013 at 12:16 PM, Jim Bromer <[email protected]> wrote:




I am not sure what Stan meant by a lack of depth but I assume that he was 
talking about definitions of the terms that he linked on.  So, for example, I 
should have included a deeper definition of the term "understanding"?  No.  I 
was saying that to understand one idea you need to understand many related 
ideas.  And that recognition requires some kind of imaginative projection of 
previously acquired insight. If you get it then enough said.  You already have 
the many related ideas that you need to understand the concept.

 
I'm sorry I just do not see the foundations of the other criticisms.  There is 
no question that the explanation of an actual experiment and the honest 
reporting of the results would be more inspiring if something promising was 
achieved, but the usual academic style paper does not meet that standard of 
achievement.  The effort to award yourself for belonging to a group who have 
mastered the style of the academic paper but who have not actually contributed 
anything substantial through their papers is nothing to be proud of.  And that 
is why most of the criticisms that I received were criticisms of style and of 
empty blanket dismissals that found nothing in my paper actually worth 
criticizing.  If you had made a little effort you might have actually 
contributed something.  Stan at least created a curiosity of deconstruction.

 
I thought I got an interesting challenge about the limitations of text based 
AGI but it turned out to be part of an argument that computer programs could 
not make inferences!
 
And the criticism that my program would not be fast enough may be correct but 
it was the first thing I said in my summary.  That was what I was alluding to 
when I pointed out that complexity is a major problem.

 
There was not one good criticism of my summary.  None of you actually seemed to 
understand what I was saying.  I find that hard to believe but the empty 
criticisms leave me with that conclusion.  So even though I was perturbed by 
the insipid pettiness of some of the criticisms, there is no question in my 
mind that they represent the rejection by an audience who were truly unable to 
understand what I was talking about.

 
The only question is whether I can turn these ideas into some kind of working 
model.
Jim Bromer
 
 
                                          



  
    
      
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-- 
Ben Goertzel, PhD
http://goertzel.org

"My humanity is a constant self-overcoming" -- Friedrich Nietzsche






  
    
      
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