whats your definition of diff of data and knowledge then?

Cyc uses a formal language based in logic to describe the things.

James

Mark Waser <[EMAIL PROTECTED]> wrote:       > 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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