Well, you see I think only the virtual agent problems are truly generalisable.
The others it strikes me, haven't got a hope of producing AGI, and are actually
narrow.
But as I said, the first can probably be generalised in terms of agents seeking
goals within problematic environments - and you can see how, in principle, at
any rate, an AGI that mastered some such problems, might go on to master
related but nevertheless very different problems re very different environments.
So, I repeat, - thinking in terms of classes of problems will help you the
producer and not just the consumer - it will help you, I would argue, focus
your efforts on where they are most likely to be rewarding. It also involves a
different kind of thinking, in my impression, than you have actually been
employing - and if that's true, play with it a lot before rejecting it.
But no need to take this further - although if you do want to explore actual
classes of problems further as such, I'm still open to that.
Been good talking to you.
----- Original Message -----
From: Benjamin Goertzel
To: agi@v2.listbox.com
Sent: Tuesday, May 01, 2007 7:32 PM
Subject: Re: [agi] The role of incertainty
On 5/1/07, Benjamin Goertzel <[EMAIL PROTECTED]> wrote:
On 5/1/07, Mike Tintner < [EMAIL PROTECTED]> wrote:
No, I keep saying - I'm not asking for the odd narrowly-defined task -
but rather defining CLASSES of specific problems that your/an AGI will be able
to tackle.
Well, we have thought a lot about
-- virtual agent control in simulation worlds (both pets and humanlike
avatars)
-- natural language question answering
-- recognition of patterns in large bodies of scientific data
and, math theorem proving...
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