FYI: there is still some way to go by shrinking transistors. From
current minimum
of 45nm half-pitch down to probably 16nm. Possibly even 11nm but that is
already
questionable. This will ensure some 5 to 10 more years of Moore's low
being fueled
by transistor shrinking and roughly an order of
Until a true AGI is developed I think it will remain necessary to pay
programmers to write programs, at least some of the time. You can't
always rely upon voluntary effort, especially when the problem you
want to solve is fairly obscure.
On 19/04/2008, Ben Goertzel [EMAIL PROTECTED] wrote:
[Sci Am] May 08
The first generation of World Wide Web capabilities
rapidly transformed retailing and information
search. More recent attributes such as blogging,
tagging and social networking, dubbed Web 2.0,
have just as quickly expanded people's ability not just
to consume online information
Bob...
... and of course, OSS does not contradict paying programmers to write software.
I have no plans to dissolve Novamente LLC, for example ;-p ... we're
actually doing better than ever ...
And, I note that SIAI is now paying 2 programmers (one full time, one
3/5 time) to work on OpenCog
Hi Mike,
The article is entirely available here. I believe that it not appropriate
(i.e. illegal) to reproduce copyrighted material from web sites for which all
rights are reserved, without their permission. Fair use, as typically employed
on the web, would allow quotation of the first few
Zitgist has released UMBEL web services that provide a subject ontology, based
upon the OpenCyc ontology that is linked to other useful ontologies including
WordNet. A useful navigation page is here. This news is especially good for
Texai because I too have adopted the OpenCyc ontology as
Current Directions in Psychological Science - April 2008 - In Press
http://www.psychologicalscience.org/journals/cd/17_2_inpress/Barsalou_completed.pdf
THE DOMINANT THEORY IN COGNITIVE SCIENCE
Across diverse areas of psychology, computer science, linguistics, and
philosophy, the
dominant
RICHARD,
I can't provide concrete reasons why Novamente and roughly similar
approaches will work --- precisely because they are designed to operate in
the realm Wolfram calls computationally irreducible --- meaning it cannot be
modeled properly by anything substantially less complex than itself.
Mike,
Thanks for the reference, which I will study further. As many know, the Texai
KB is currently crisp and symbolic, and will have to stay that way until after
the bootstrap English dialog system is developed. I want Texai to be
implemented in a cognitively plausible manner, and articles
Steve,
Check out Grounded Cognition, by Barsalou. He makes the fascinating point that
purely symbolic approaches to conceptualisation are actually, historically, an
aberration .
Origins of Grounded Cognition
Perhaps surprisingly, grounded cognition has
been the dominant view of cognition for
--- SUMMARY OF POSTS SO FAR RE --- WHAT ARE THE MISSING CONCEPTUAL PIECES IN
AGI?
===
===Matt Mahoney -- Sat 4/19/2008 12:10 PM
- Lack of well defined goals. What defines AGI? A better spam filter? A
robotic housemaid? Automating all human labor?
-
I don't see any conflict between the dominant theory in cognitive science
and that in cognitive neuroscience quoted below, rather a clarification.
The latter quote pretty much says the same thing. The amodal nodes could
represent combinations of ANDed or ORed modal nodes, which fits naturally
with
Ed Porter wrote:
RICHARD,
I can't provide concrete reasons why Novamente and roughly similar
approaches will work --- precisely because they are designed to operate in
the realm Wolfram calls computationally irreducible --- meaning it cannot be
modeled properly by anything substantially less
On 19/04/2008, Ed Porter [EMAIL PROTECTED] wrote:
WHAT ARE THE MISSING CONCEPTUAL PIECES IN AGI?
I'm not quite sure how to describe it, but this brief sketch will have
to do until I get some more time. These may be in some new AI
material, but I haven't had the chance to read up much recently.
William Pearson writes: Consider an AI learning chess, it is told in plain
english that...
I think the points you are striving for (assuming I understand what you mean)
are very important and interesting. Even the first simplest steps toward this
clear and (seemingly) simple task baffle me.
Mike,
I've printed but not yet fully studied the Barsalou paper. But I am still very
comforted by your quotation from his work:
... he posits as primary something more like 2) an agent-dependent
instruction manual. According to this metaphor, knowledge of a category is not
a general
First, I think there is a world of difference between passionate
researchers at the beginning of the field, in 1956, and passionate
researchers in 2008 who have a half-century of other people's mistakes
to learn from. The secret of success is to try and fail, then to try
again with a fresh
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