John,
> Example - When we create software applications we use compilers. When the
> applications get more complex we have to improve the compilers (otherwise
> AutoCad 2007 could be built with QBasic). For AGI do we need to improve the
> compliers to the point where they actually write the source
Matt,
> Using pointers saves memory but sacrifices speed. Random memory access is
> slow due to cache misses. By using a matrix, you can perform vector
> operations very fast in parallel using SSE2 instructions on modern processors,
> or a GPU.
I doubt it.
http://en.wikipedia.org/wiki/SSE2 - do
Ed,
1) Human-level AGI with access to current knowledge base cannot build
AGI. (Humans can't)
2) When AGI is developed, humans will be able to build AGI (by copying
successful AGI models). The same with human-level AGI -- it will be
able to copy successful AGI model.
But that's not exactly self-
>Vlad Could you clarify what you mean by additional information here?
Ed Of a very general class that includes what you described in your
prior quote: "In my current model there are context-sensitive links between
nodes, AND and NOT combinators. Whenever one node is active ('link origin'
Ben,
A further thought occurs to me about how learning derives from practice - &
I wonder whether you've thought about this. Basically, in humans and
animals, the kinds of learning we've been talking about - learning to
crawl, manipulate, walk, talk, play tennis forehands or pianos - involve
On Dec 1, 2007 1:59 AM, Ed Porter <[EMAIL PROTECTED]> wrote:
> Vladimir,
>
> I thought some additional information would be required to separate somewhat
> similar, but different cases, as your system contains.
Edward,
Could you clarify what you mean by additional information here? Do you
mean th
Vladimir,
I thought some additional information would be required to separate somewhat
similar, but different cases, as your system contains.
I assume Valiant is not an idiot so he has some half-way reasonable
explanation for his method of hebbian learning without full connection, but
in the AGI
> From: Dennis Gorelik [mailto:[EMAIL PROTECTED]
> John,
>
> >> Note, that compiler doesn't build application.
> >> Programmer does (using compiler as a tool).
>
> > Very true. So then, is the programmer + compiler more complex that the
> AGI
> > ever will be?
>
> No.
> I don't even see how it r
Bob,
Yes, losing useful modules degrades intelligence, but system still can
be intelligent without most of such modules.
Good example - blind and deaf people.
Besides, such modules can be replaced by external tools.
I'd say that critical modules for AGI are:
- Super Goals (permanent).
- Sub Goal
Benjamin,
> Obviously, most researchers who have developed useful narrow-AI
> components have not gotten rich from it.
My example is "Google founders" who developed narrow-AI
component -- Google).
What is your example of useful narrow AI component developers who
have not got rich from it?
> Th
John,
>> Note, that compiler doesn't build application.
>> Programmer does (using compiler as a tool).
> Very true. So then, is the programmer + compiler more complex that the AGI
> ever will be?
No.
I don't even see how it relates to what I wrote above ...
> Or at some point does the AGI build
Benjamin,
>> E.g.: Google, computer languages, network protocols, databases.
> These are tools that are useful for AGI R&D but so are computer
> monitors, silicon chips, and desk chairs.
1) Yes, creating monitor contributed into AGI a lot too.
2) Technologies that I mentioned above are useful o
Ben,
What about adults? Things like language learning, dynamics of memorizing.
Feature spaced repetition (
http://en.wikipedia.org/wiki/Spaced_repetition ) tries to hijack looks
to me like a good candidate for memorization heuristics.
On Nov 30, 2007 4:45 PM, Benjamin Goertzel <[EMAIL PROTECTED]
On Nov 30, 2007 9:58 PM, Ed Porter <[EMAIL PROTECTED]> wrote:
> Vladimir Nesov There are no well-articulated theories here. I guess that
> columns are induction chips: they have potential all-to-all connectivity, so
> they can learn the rule in form 'after this signal comes that signal' for
> a
Ed,
That is probably a good rough estimate. There are more headers for the more
frequently transmitted smaller messages but a 16 byte header may be a bit
large.
Here is a speedtest link -
http://www.speedtest.net/
My Comcast cable from Denver to NYC tests at 3537 kb/sec DL and 1588 kb/sec
UL mu
John,
Thanks. I guess that means and AGI-at-home system could be both up-loading
and receiving about 27 1K msgs/sec if it wasn't being used for anything else
and the networks weren't backed up in its neck of the woods.
Presumably the number for say 128Byte messages would be say, roughly, 8
tim
Vladimir Nesov There are no well-articulated theories here. I guess that
columns are induction chips: they have potential all-to-all connectivity, so
they can learn the rule in form 'after this signal comes that signal' for
any two signals in column.
Ed how does the induction chip avoid cr
Yeah I couldnt resist, thanks for the video though, I handt seen that one, was
well done.
James
Matt Mahoney <[EMAIL PROTECTED]> wrote:
--- BillK
wrote:
> On Nov 30, 2007 2:37 PM, James Ratcliff wrote:
> > More Women:
> >
> > Kokoro (image attached)
> >
>
>
> So that's what a women is! I
Ben,
>From reading the list of publications, it looks just like you said. Most of
its individual papers relate to how to make computers gain a particular
competency that we hope our systems would learn largely automatically.
But some of the black boxes sound quite interesting. Like one of the p
--- BillK <[EMAIL PROTECTED]> wrote:
> On Nov 30, 2007 2:37 PM, James Ratcliff wrote:
> > More Women:
> >
> > Kokoro (image attached)
> >
>
>
> So that's what a women is! I wondered..
Wrong. http://www.youtube.com/watch?v=N7mZStNNN7g
-- Matt Mahoney, [EMAIL PROTECTED]
-
This list
--- Dennis Gorelik <[EMAIL PROTECTED]> wrote:
> Matt,
>
>
> > And some of the Blue Brain research suggests it is even worse. A mouse
> > cortical column of 10^5 neurons is about 10% connected,
>
> What does mean 10% connected?
> How many connections does average mouse neuron have?
> 1?
A
Yeah, I've been following that for a while. There are some very smart
people involved, and it's quite possible they'll make a useful
software tool, but I don't feel they have a really viable unified
cognitive architecture. It's the sort of architecture where different
components are written in di
Also checkout http://caloproject.sri.com/publications/ for a list of CALO
related publications
Ed Porter
-Original Message-
From: Ed Porter [mailto:[EMAIL PROTECTED]
Sent: Friday, November 30, 2007 12:58 PM
To: 'agi@v2.listbox.com'
Subject: RE: [agi] AGI DARPA-style
Checkout AGI DARPA-s
RL:However, I have previously written a good deal about the design of
different types of motivation system, and my understanding of the likely
situation is that by the time we had gotten the AGI working, its
motivations would have been arranged in such a way that it would *want*
to be extremely co
Checkout AGI DARPA-style:
"Software That Learns from Users-- A massive AI project called CALO could
revolutionize machine learning" at
http://www.technologyreview.com/Infotech/19782/?a=f
Ed Porter
-
This list is sponsored by AGIRI: http://www.agiri.org/email
To unsubscribe or change your op
Computers are currently designed by human-level intellitences, so presumably
they could be designed by human-level AGI's. (Which if they were human-level
in the tasks that are currently hard for computers means they could be
millions of times faster than humans for tasks at which computers already
Hi Ed,
If the peer is not running other apps utilizing the network it could do the
same. Typically a peer first needs to locate other peers. There may be
servers involved but these are just for the few bytes transmitted for public
IP address discovery as many(or most) peers reside hidden behind NA
John,
Thanks.
Can P2P transmission match the same roughly 27 1Kmsg/sec rate as the client
to server upload you discribed?
Ed Porter
-Original Message-
From: John G. Rose [mailto:[EMAIL PROTECTED]
Sent: Thursday, November 29, 2007 11:40 PM
To: agi@v2.listbox.com
Subject: RE: Hacker in
The overall architecture is what is needed, the glue to hold the modules
together.
Lots of talk has been goign on about the Narrow AI pieces being used to build
complete AGI. We will not be able to use much of any of the pieces directly in
the core AGI, unless as Ben says they are modeled for
Benjamin Goertzel wrote:
On Nov 30, 2007 7:57 AM, Mike Tintner <[EMAIL PROTECTED]> wrote:
Ben: It seems to take tots a damn lot of trials to learn basic skills
Sure. My point is partly that human learning must be pretty quantifiable in
terms of number of times a given action is practised,
Def
Dennis Gorelik wrote:
Richard,
Not collecting the *content* of the AGI's knowledge, collecting data
about the relationship between low-level mechanisms and high-level
behavior (within a well-defined context).
So your approach is to reverse engineer human's brain?
To reverse-engineer the co
Charles D Hixson wrote:
Ed Porter wrote:
Richard,
Since hacking is a fairly big, organized crime supported, business in
eastern Europe and Russia, since the potential rewards for it relative to
most jobs in those countries can be huge, and since Russia has a
tradition
of excellence in math an
On Nov 30, 2007 2:37 PM, James Ratcliff wrote:
> More Women:
>
> Kokoro (image attached)
>
So that's what a women is! I wondered..
BillK
-
This list is sponsored by AGIRI: http://www.agiri.org/email
To unsubscribe or change your options, please go to:
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On Nov 30, 2007 7:57 AM, Mike Tintner <[EMAIL PROTECTED]> wrote:
> Ben: It seems to take tots a damn lot of trials to learn basic skills
>
> Sure. My point is partly that human learning must be pretty quantifiable in
> terms of number of times a given action is practised,
Definitely NOT ... it's v
Ben: It seems to take tots a damn lot of trials to learn basic skills
Sure. My point is partly that human learning must be pretty quantifiable in
terms of number of times a given action is practised, & I wonder whether
anyone's counting. I know Anders Ericsson & other expert psychologists
quan
On 30/11/2007, Dennis Gorelik <[EMAIL PROTECTED]> wrote:
> For example, mouse has strong image and sound recognition ability.
> AGI doesn't require that.
> Mouse has to manage its muscles in a very high pace.
> AGI doesn't need that.
I'm not convinced that it is yet possible to make categorical
a
If you want to see what cortical columns actually look loke, see
http://brainmaps.org In some of these images you can clearly see what
appear to be neurons stacked on top of each other perpendicular to the
cortical plane. However, unlike the architecture of a computer there
are no clear divisions
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