IN the final analysis, Ben, you're giving me excuses rather than solutions.

Your pet control program is a start - at least I have a vague, still v. vague 
idea of what you might be doing.

You could (I'm guessing) say : this AGI is designed to control a pet which will 
have to solve adaptive problems like a) hide in surprising places within a 
complex environment and b) negotiate a complex environment strewn with 
obstacles and find new ways to destinations

That more particular problem or type of problem, can then be generalised into  
vast classes of problems about agents finding new ways about complex 
environments - from searching buildings, to playing soccer or field games, to 
shopping in supermarkets or malls, etc.  (In the end, you could probably 
generalise that class to include ALL problems period - including searching 
through information environments on the Net and in conversations).

(Actually your mission statement should start the other way round - with the 
general class of problems/ activities you envisage  - and then the particular 
examples that your AGI is going to concentrate on first.. and then indicate how 
you think it might progress).

P.S. This is a truly weird conversation. It's like you're saying.."Hell it's a 
box, why should I have to tell you what my box does?" Only insiders care what's 
inside the box. The rest of the world wants to know what it does - and that's 
the only way they'll buy it and pay attention to it - and the only reason they 
should. Life's short.


----- Original Message ----- 
  From: Benjamin Goertzel 
  To: [email protected] 
  Sent: Tuesday, May 01, 2007 2:39 PM
  Subject: Re: [agi] The role of incertainty






    However, reading your papers & Ben's, it's becoming clear that there may 
    well be an industry-wide bad practice going on here. You guys all focus on
    how your systems WORK...   The first thing anyone trying to understand your
    or any other system must know is what does it DO?  What are the problems it 
    addresses, and the kinds of solutions it provides?



  Hey Mike: What are the problems you address, and the kinds of solutions you 
provide?

  I could ask the same question about my 10 year old daughter ... or a newborn 
baby... 

  My point is: an AGI system is by definition not restricted to a highly 
particular problem domain ... so the set of problems and solutions potentially 
addressable by any AGI system will be extremely broad....

  Thinking in terms of incremental pathways to AGI, one may posit particular 
problem domains as targets for partial versions of one's AGI.  But then there 
is a danger that people will see those "interim problem domains" and 
overgeneralize and believe that is what one's AGI system is all about. 

  For instance, the first commercial manifestation of the Novamente AI Engine 
was the use of some of its learning routines inside the Biomind ArrayGenius 
product for gene expression microarray data analysis. So what? 

  The next commercial manifestation may well be for controlling virtual pets 
operative within Second Life and/or other virtual worlds.  Again, so what?  
This doesn't mean that Novamente is "basically a virtual pet controller" any 
more than it's "basically a bioinformatics analysis tool." 

  Once the end goal of AGI is reached, AGI systems will be able to do anything 
humans can do plus way more.  And what AGI systems happen to be used to do on 
the incremental pathway there, doesn't really tell you that much about the 
ultimate nature of the AGI systems.   (Similarly, e.g., the early applications 
that the Internet was used for in the 1970's don't really tell you much about 
the ultimate nature of the Internet.  They tell you something of course, but 
they leave a lot out, as anyone can see now....) 

  -- Ben G


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