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
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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