Thanks!
That's the trouble with wikipedia - you think you have half an idea
(although I certainly wouldn't rate the thought below of mine as an idea)
and some bugger has already had it. About a year ago, I was getting into the
open source movement and realising how huge its effects would be,
The open source idea sounds great and in general I agree with this
approach. One of the main benefits in my view is ensuring that
powerful new technology does not fall into the hands of any single
individual, company or nation who could then monopolise its use,
potentially with unfriendly
I should add that part of the creative challenge of developing an
integrational structure for AGI is to develop one that will allow CREATIVE
minds to work together - and not just hacks a la Wikip. - and enable them
to integrate whole sets of major new inventions and innovations.
And that too,
On 5/11/07, Mike Tintner [EMAIL PROTECTED] wrote:
I should add that part of the creative challenge of developing an
integrational structure for AGI is to develop one that will allow CREATIVE
minds to work together - and not just hacks a la Wikip. - and enable
them
to integrate whole sets of
On Friday 11 May 2007 05:16:44 am Bob Mottram wrote:
...
But in practice it's difficult to do AI in an open source way, because
I've found that at least up until the present there have been very few
people who actually know anything about the algorithms involved and
can make a useful
Mike Tintner wrote:
Thanks!
[...]
So, ATM, is anyone following up on your ideas and
sourceforge framework?
http://AIMind-I.com is where Mr. Frank J. Russo (FJR)
has created its own website for his version of my
http://mind.sourceforge.net/mind4th.html AI in Forth.
On another note, Ben
J. Storrs Hall writes:
Tommy, the scientific experiment and engineering project, is almost all
about concept formation.
Great project! While I'm not quite sure about meaning in the concept of
price-theoretical market equilibria thing, I really like your idea and it's
similar in broad
In order to differentiate this from the rest of the robotics crowd you
need to avoid building a specialised pinball playing robot. If the
machine can learn and form concepts based upon its experiences it
should be able to do so with any kind of game, provided that suitable
actuators are
Bob Mottram writes: In order to differentiate this from the rest of the
robotics crowd you need to avoid building a specialised pinball playing robot.
I can't speak for JoSH, but I got the impression that playing pinball or
anything similar was not the object, the object was to provide real
Josh: Thus Tommy. My robotics project discards a major component of robotics
that is apparently dear to the embodiment crowd: Tommy is stationary
and not autonomous
As Daniel Wolpert will tell you, the sea squirt devours its brain as soon as
it stops moving. In the final and the first analysis,
Josh,
Interesting work, and I like the nature of your approach.
We have essentially a kind of a pin ball machine at IDSIA
and some of the guys were going to work on watching this
and trying to learn simple concepts from the observations.
I don't work on it so I'm not sure what the current state
On Friday 11 May 2007 02:01:09 pm Mike Tintner wrote:
...
As Daniel Wolpert will tell you, the sea squirt devours its brain as soon as
it stops moving.
As Dan Dennet has pointed out, this resembles what happens when one gets
tenure...
In the final and the first analysis, the brain is a
Friday, May 11, 2007, J Storrs Hall, PhD wrote:
JSHP 2. The hard part is learning: the AI has to build its own world
JSHP model.
And for this it requires complex enough world to model. Information
about the world can be given by static description (which also includes
action-reaction
Right. The key issue is autogeny in the mental architecture. Learning will be
unsupervised to start, with internal feedback from how well the system is
expecting what it sees next. Then we move into a mode where imitation is the
key, with the system trying to do what a person just did (e.g.
Yes, thank you, a meaningful and very interesting project. I discussed this
kind of system with a friend of mine half an hour ago.
On 5/11/07, J Storrs Hall, PhD [EMAIL PROTECTED] wrote:
2. The hard part is learning: the AI has to build its own world
model. My instinct and experience
Saturday, May 12, 2007, Matt Mahoney wrote:
MM Now suppose you wanted to simulate A on A. (You may suspect a program has a
MM virus and want to see what it would do without actually running it). Now
you
MM have the same problem. You need an array to reprsent your own memory, and
it
MM would
On 11/05/07, J Storrs Hall, PhD [EMAIL PROTECTED] wrote:
Tommy, the scientific experiment and engineering project, is almost
all about concept formation. He gets a voluminous input stream but is
required to parse it into coherent concepts (e.g. objects, positions,
velocities, etc). None of
Josh,
This is an interesting idea that deserves detailed discussion.
Since the 90s there has been a strand in AI research that claims that
robotics is necessary to the enterprise, based on the notion that
having a body is necessary to intelligence. Symbols, it is said, must
be grounded in
Josh,
Since the 90s there has been a strand in AI research that claims that
robotics is necessary to the enterprise, based on the notion that
having a body is necessary to intelligence. Symbols, it is said, must
be grounded in physical experience to have meaning. Without such
grounding AI
Josh,
I'm not quite sure what your angle is here, but I don't seem to be
communicating, (please correct me). If BTW you and/or others aren't
interested in this whole cultural history area, please ignore.
I'm saying the last 400 years have been framed by Descartes' and science's
mind VERSUS
Josh,
[ignore previous truncated version]
I'm not quite sure what your angle is here, but I don't seem to be
communicating, (please correct me). If BTW you and/or others aren't
interested in this whole cultural history area, please ignore.
I'm saying the last 400 years have been framed by
Computational
AI/AGI vsrobotics
(Symbolic AIvs (situated, embodied
evolutionary robotics)
What has been happening over the last decade or so, is that all these
dichotomies have been dissolving. It's arguably a
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