No quantum leaps, but we've made some practical as well as theoretical
progress; and due to 2 (small) commercial contracts this will be a major
focus of a few of our team members in the next 6 months, in parallel with
our work on virtually embodied animals.

-- Ben

On Nov 12, 2007 3:09 PM, Mark Waser <[EMAIL PROTECTED]> wrote:

>  Hmm.  Interesting.  This e-mail (and the last) lead me to guess that you
> seem to have made some major, quantum leaps in NLP.  Is that correct?  You
> sure haven't been talking about it . . . .
>
> ----- Original Message -----
> *From:* Benjamin Goertzel <[EMAIL PROTECTED]>
> *To:* [email protected]
> *Sent:* Monday, November 12, 2007 2:57 PM
> *Subject:* Re: [agi] What best evidence for fast AI?
>
>
>
> On Nov 12, 2007 2:51 PM, Mark Waser <[EMAIL PROTECTED]> wrote:
>
> >  I don't know at what point you'll be blocked from answering by
> > confidentiality concerns
> >
>
>
> I can't say much more than I will do in this email, due to customer
> confidentiality concerns
>
>
> >  but I'll ask a few questions you hopefully can answer like:
> >
> >    1. How is the information input and stored in your system (i.e. Is
> >    it more like simple formal assertions with a restricted syntax and/or
> >    language or like English language)?
> >
> >
> English input as well as other forms of input; NM Atom storage
>
> Obviously English language comprehension will not be complete; and
> proprietary (not Novamente's) UI devices will be used to work around this.
>
> >
> >    1.
> >    2. How constrained in the information content (and is the content
> >    even relevant)?
> >
> >
> We'll work with a particular (relatively simple) text source for starters,
> with a view toward later generalization
>
> >
> >    1.
> >    2. To what degree does the system "understand" the information (
> >    i.e. how much can in manipulate it)?
> >
> >
> That degree will increase as we bring more and more of PLN into the
> system.  Initially, it'll just be simple PLN first-order term logic
> inference; then we'll extend it.
>
>
> >
> >    1.
> >    2. Who tags the information as relevant to particular users?
> >
> >
> User feedback
>
> >
> >    1.
> >    2. How constrained are the tags?
> >
> >
> They're English
>
> >
> >    1.
> >    2. What is the output
> >
> >
> That's confidential, but it's very expressive and flexible
>
> |  (is it just a regurgitation of appropriately tagged information
> pieces)?
>
>
> No
>
> -- Ben
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