I would go with Todor on this one.  More specifically, it's very clear to me 
that language cannot be the bottom or basis of representation.  A language 
system has to be a piece on top of the basic system.  It may be the most 
important piece to us, because for interaction with us, and ability to use our 
body of written knowledge and contribute to it, a system will need to use 
language.  But, that need in no way implies that you could ever get any 
intelligent behavior if you just start at the level of language.  There are 
plenty of reasons to think otherwise.  

And I think it has been very misleading that because of the importance of 
language, systems that use text as just meaningly data have been somewhat 
useful, much more so than other approach.  I'm talking about statistical NLP.  
That word-bag stuff and Google's big corpus stuff.  It managed to be something 
we could do without too much work, and crowds out real progress.  It uses an 
oversimplified model of knowledge as exact recording.  Meanings just are not 
recordings.  
Andi



On Apr 3, 2013, at 3:12 AM, Todor Arnaudov <[email protected]> wrote:

> One thought from me: throw away NL for representations in an intelligent 
> system, unless there's a mind that does understand it completely - e.g. one 
> that can unroll and map any ambiguous vague NL item (as long as it falls in 
> its cognitive reach) down to sensory data specifics or/and 
> theory/implementation details; and back.
> 
> 
> >Date: Tue, 2 Apr 2013 10:07:18 -0700
> > Subject: [agi] What is "understanding"?
> > From: [email protected]
> > To: [email protected]
> 
> > Aaron, et al,
> 
> > Recent discussions regarding representation brings up an even more 
> > fundamental question - what is "understanding".
> >(...)
> 
> >I am NOT looking for vague wishy-washy words. I am looking for a solid 
> >definition that defines the outer boundary of
>  >"understanding", 



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