On 05/02/2008, Mike Tintner [EMAIL PROTECTED] wrote:
William P : I can't think
of any external test that can't be fooled by a giant look up table
(ned block thought of this argument first).
A by definition requirement of a general test is that the systembuilder
doesn't set it, and can't
Fine. Which idea of anyone's do you believe will directly produce
general intelligence - i.e. will enable an AGI to solve problems in
new unfamiliar domains, and pass the general test I outlined? (And
everyone surely agrees, regardless of the test, that an AGI must have
general
A. T. Murray wrote:
Mike Tintner wrote in the message archived at
http://www.mail-archive.com/agi@v2.listbox.com/msg09744.html
[...]
The first thing is that you need a definition
of the problem, and therefore a test of AGI.
And there is nothing even agreed about that -
although I think
On Feb 4, 2008 11:42 PM, Mike Tintner [EMAIL PROTECTED] wrote:
The test, I suggest, is essentially; not the Turing Test or anything like
that but The General Test. If your system is an AGI, or has AGI potential,
then it must first of all have a skill and be able to solve problems in a
given
On Feb 5, 2008 11:36 PM, Benjamin Johnston [EMAIL PROTECTED] wrote:
Well, as I said before, I don't know which will directly produce general
intelligence and which of them will fail.
snip /
My point, again, is that we don't know how the first successful AGI will
work - but we can see many
Richard Loosemore wrote:
[...]
Arthur, if there is an analogy between Mindforth
and the Wright Brothers, then you, alas, are just
standing on the sand at Kitty Hawk, waving your hands
up and down and shouting I can flap! I can flap!.
After they achieved true airplane functionality,
On 05/02/2008, A. T. Murray [EMAIL PROTECTED] wrote:
After they achieved true airplane functionality,
apparently at least one newspaper -- perhaps
The Loosemore Gazette -- published an article
expressing disbelief in the preposterous claim
by the Wright brothers that they had achieved
Benjamin Johnston wrote, among other things:
I like to think about Deep Blue a lot. Prior to Deep Blue, I'm sure
that there were people who, like you, complained that nobody has
offered a crux idea that could make truly intelligent computer chess
system. In the end Deep Blue appeared to win
Mike Tintner wrote:
I believe we are
thinking machines and not in any way magical. I just believe that our
thinking works on different mechanistic/ computational principles to
those of programs - which someone apart from me, surely should at
Richard,:Mike,
When you say I just believe that our thinking works on different
mechanistic/ computational principles to those of programs ... What you
are really trying to say is that intelligence is not captured by a certain
type of rigid, pure symbol-processing AI. The key phrase is
Benjamin [as in Johnston :)],
Thankyou for a detailed response which is totally constructive. (An uncommon
thing and I appreciate it). And therefore v. helpful.
It's helps me understand how you others think. I can see more clearly why
you believe - reasonably from your POV - that crux
I think your approach here *is* representative - , as you indicate,
the details of different approaches to AGI in this discussion, aren't
that important. What is common IMO to your and the thinking of others
here is that you all start by asking yourselves : what kinds of
programming will
Very briefly, my focus a while back in attacking programs was not on
the sign/ semiotic - and more particularly, symbolic - form of
programs, although that is v. important too.
My focus was on the *structure* of programs - that's what they are:
structured and usually sequenced sets of
Could anyone send some initial references/links to read on subject?
--
Best regards,
Evgenii Philippov
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Hi Evgenii,
From my bookshelf:
1. Code Generation in Action (2003) - Jack Herrington
2. Computer Program Construction (1994) - Ali Mili, Jules Desharnais, Fatma
Mili
3. Knowledge Based Program Construction (1979) - David R. Barstow
4. Studies in Automatic Programming Logic (1977) - Zohar
8. Generative Programming, Methods, Tools, and Applications (2000) -
Krzysztof Czarnecki, Ulrich W. Eisenecker
The above is a very good book, IMO ... not directly AGI-related, but
damn insightful re generative software design...
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