On 11/28/06, J. Storrs Hall, PhD. [EMAIL PROTECTED] wrote:
On Monday 27 November 2006 10:35, Ben Goertzel wrote:
Amusingly, one of my projects at the moment is to show that
Novamente's economic attention allocation module can display
Hopfield net type content-addressable-memory behavior on
My approach,
admittedly unusual, is to assume I have all the processing power and memory I
need, up to a generous estimate of what the brain provides (a petawords and
100 petaMACs), and then see if I can come up with operations that do what it
does. If not it, would be silly to try and do the
On 11/27/06, Ben Goertzel [EMAIL PROTECTED] wrote:
An issue with Hopfield content-addressable memories is that their
memory capability gets worse and worse as the networks get sparser and
sparser. I did some experiments on this in 1997, though I never
bothered to publish the results ... some
Amusingly, one of my projects at the moment is to show that
Novamente's economic attention allocation module can display
Hopfield net type content-addressable-memory behavior on simple
examples. As a preliminary step to integrating it with other aspects
of Novamente cognition (reasoning,
I'm not saying that the n-space approach wouldn't work, but I have used that
approach before and faced a problem. It was because of that problem that I
switched to a logic-based approach. Maybe you can solve it.
To illustrate it with an example, let's say the AGI can recognize apples,
bananas,
On 11/27/06, YKY (Yan King Yin) [EMAIL PROTECTED] wrote:
The problem is that this thing, on, is not definable in n-space via
operations like AND, OR, NOT, etc. It seems that on is not definable by
*any* hypersurface, so it cannot be learned by classifiers like feedforward
neural networks or
On 11/28/06, Mike Dougherty [EMAIL PROTECTED] wrote:
perhaps my view of a hypersurface is wrong, but wouldn't a subset of the
dimensions associated with an object be the physical dimensions? (ok,
virtual physical dimensions)
Is On determined by a point of contact between two objects? (A is
HI,
Therefore, the problem of using an n-space representation for AGI is
not its theoretical possibility (it is possible), but its practical
feasibility. I have no doubt that for many limited application,
n-space representation is the most natural and efficient choice.
However, for a general
On 11/26/06, Ben Goertzel [EMAIL PROTECTED] wrote:
HI,
Therefore, the problem of using an n-space representation for AGI is
not its theoretical possibility (it is possible), but its practical
feasibility. I have no doubt that for many limited application,
n-space representation is the most
] Understanding Natural Language
On 11/24/06, Matt Mahoney [EMAIL PROTECTED] wrote:
Andrii (lOkadin) Zvorygin [EMAIL PROTECTED] wrote:
I personally don't understand why everyone seems to insist on using
ambiguous illogical languages to express things when there are viable
alternative available
.
-- Matt Mahoney, [EMAIL PROTECTED]
- Original Message
From: Andrii (lOkadin) Zvorygin [EMAIL PROTECTED]
To: agi@v2.listbox.com
Sent: Sunday, November 26, 2006 4:37:02 PM
Subject: Re: Re: [agi] Understanding Natural Language
On 11/25/06, Matt Mahoney [EMAIL PROTECTED] wrote:
Andrii
I constructed a while ago (mathematically) a detailed mapping from
Novamente Atoms (nodes/links) into n-dimensional vectors. You can
certainly view the state of a Novamente system at a given point in
time as a collection of n-vectors, and the various cognition methods
in Novamente as mappings
.
-- Matt Mahoney, [EMAIL PROTECTED]
- Original Message
From: Andrii (lOkadin) Zvorygin [EMAIL PROTECTED]
To: agi@v2.listbox.com
Sent: Saturday, November 25, 2006 5:01:04 AM
Subject: Re: Re: [agi] Understanding Natural Language
On 11/24/06, Matt Mahoney [EMAIL PROTECTED] wrote:
Andrii (lOkadin
Oh, I think the representation is quite important. In particular, logic lets
you in for gazillions of inferences that are totally inapropos and no good
way to say which is better. Logic also has the enormous disadvantage that you
tend to have frozen the terms and levels of abstraction. Actual
It was a true solar-plexus blow, and completely knocked out, Perkins
staggered back against the instrument-board. His outflung arm pushed the
power-lever out to its last notch, throwing full current through the
bar, which was pointed straight up as it had been when they made their
landing.
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