I don't know at what point you'll be blocked from answering by 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)?
2.. How constrained in the information content (and is the content even
relevant)?
3.. To what degree does the system "understand" the information (i.e. how
much can in manipulate it)?
4.. Who tags the information as relevant to particular users?
5.. How constrained are the tags?
6.. What is the output (is it just a regurgitation of appropriately tagged
information pieces)?
I have to assume that you're taking the easy way out on most of the questions
(like "formal assertions, restricted syntax, any language but the system does
not understand or manipulate the language so content is irrelevant, users apply
tags, fairly simply regurgitation) if you think 2008 is anywhere close to
reasonable.
----- Original Message -----
From: Benjamin Goertzel
To: agi@v2.listbox.com
Sent: Monday, November 12, 2007 1:59 PM
Subject: Re: [agi] What best evidence for fast AI?
That's a good simple, starting case. But how do you decide how much
knowledge to disburse? How do you know what is irrelevant? How much do your
answers differ between a small farmer in New Zealand, a rodeo rider in the
West, a veterinarian is Pennsylvania, a child in Washington, a bio-mechanician
studying gait? And horse is actually a *really* simple concept since it refers
to a very specific type of physical object.
Besides, are you really claiming that you'll be able to do this next
year? Sorry, but that is just plain, unadulterated BS. If you can do that,
you are light-years further along than . . . .
Actually, this example is just not that hard. I think we may be able to do
this during 2008, if funding for that particular NM application project holds
up (it's currently confirmed only thru May-June)
ben
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