> However, it has not yet been as convincingly disproven as the Cyc-type
> approach of feeding a AI commonsense knowledge encoded in a formal
> language ;-)

Actually, I would describe the Cyc-type approach as feeding an AI common-sense 
data which then begs all sorts of questions . . . . 

----- Original Message ----- 
From: "Ben Goertzel" <[EMAIL PROTECTED]>
To: <agi@v2.listbox.com>
Sent: Wednesday, November 15, 2006 6:50 PM
Subject: Re: [agi] One grammar parser URL


>> 3. If translating natural language to a structured representation is not
>> hard, then do it.  People have been working on this for 50 years without
>> success.  Doing logical inference is the easy part.
> 
> Actually, a more accurate statement would be "Doing individual logical
> inference steps is the easy part."
> 
> Appropriately constructing useful long chains of inference steps is an
> unsolved problem, just as is mapping NLP into a structured logical
> representation.  Hence, the fact that nearly all automated
> theorem-provers are currently used in "interactive" mode, where the
> automated system does a few inference steps and then appeals to a
> human for help in search tree pruning (aka choosing what to do next),
> and then the automated system does a few more steps, etc.
> 
> If you buy Lakoff and Nunez's theory of the cognitive underpinning of
> mathematics (and logic)  in everyday embodied physical experience,
> then it follows that these two problems (semantic interpretation and
> inference control) have a lot of overlap.
> 
> If human logical inference is based on metaphors of embodied
> experience, then inference control in humans is largely based on
> metaphors of control processes carried out in choosing actions in the
> everyday life context.
> 
> In this case, the "common sense knowledge" deficit experienced by AI's
> underlies the difficulty that AI's experience with both inference
> control and semantic interpretation.
> 
> Our approach in the Novamente project is to give our AI common sense
> knowledge via embedding it and interacting with it in the AGISim
> simulation world.  This approach has yet to be proven, of course.
> However, it has not yet been as convincingly disproven as the Cyc-type
> approach of feeding a AI commonsense knowledge encoded in a formal
> language ;-)
> 
> -- Ben G
> 
> In this case,
> 
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