Check out this paper...
http://www.numenta.com/Numenta_HTM_Concepts.pdf
I think it's a good article.
It seems to fairly fully reveal the scope and nature of their current
scientific activities, though it says nothing about their plans for
commercialization or other practical application.
On 01/06/06, Richard Loosemore [EMAIL PROTECTED] wrote:
I had similar feelings about William Pearson's recent message about
systems that use reinforcement learning:
A reinforcement scenario, from wikipedia is defined as
Formally, the basic reinforcement learning model consists of:
1. a
What is the universal test for the ability of any given AI SYSTEM
to Perceive Reason and Act?
Is there such a test?
What is the closest test known to date?
Dan Goe
From : William Pearson [EMAIL PROTECTED]
To : agi@v2.listbox.com
The theoretical presumption here is that once you've solve the problem
of recognizing moderately complex patterns in perceptual data streams,
then you're essentially done with the AGI problem and the rest is just
some wrappers placed around your perception code. I don't think
so I think
What are the other methods of approach to Seed AI?
Dan Goe
From : Mike Ross [EMAIL PROTECTED]
To : agi@v2.listbox.com
Subject : Re: [agi] Numenta: article on Jeff Hawkins' AGI approach
Date : Fri, 2 Jun 2006 10:54:31 -0400
The theoretical
Hi all,The way I've read Hawkins' and company's work so far is that they view HTM as a cognitive engine that, while perceptually based, would essentially drive other cognitive functions, including behavior. I think you're right that they would agree that these additional cognitive functions would
One of the more interesting ideas the Numenta people have is of how a
perceptual system could be used in a motor-control system by hooking
up expectations to actual commands. I think its fair to say that
Numenta is pushing towards AGI from the animalistic perspective. Once
they hook up some
... they have a good chance of getting something thats about as smart as some dumb animalsI agree, Mike, and it seems to me that, from an AGI perspective (as opposed to an AI perspective), this is an excellent goal to have.
On 6/2/06, Mike Ross [EMAIL PROTECTED] wrote:
One of the more interesting
Will,
Comments taken, but the direction of my critique may have gotten lost in
the details:
Suppose I proposed a solution to the problem of unifying quantum
mechanics and gravity, and suppose I came out with a solution that said
that the unified theory involved (a) a specific interface to
On 6/2/06, Ben Goertzel wrote:
Mike
You note that Numenta's approach seems oriented toward implementing an
animal-level mind...
I agree, and I do think this is a fascinating project, and an approach
that can ultimately succeed... but I think that for it to succeed
Hawkins will have to
On 6/2/06, Charles D Hixson [EMAIL PROTECTED] wrote:
Rule of thumb:First get it working, doing what you want.Thenoptimize.When optimizing, first check your algorithms,then check tosee where time is actually spent.Apply extensive optimization only to
the most used 10% (or less) of the code.If you
The question remains of the limits of MB/GB size and resource
requirements.
Execution time for a given process
There are limits...
Does anyone have any idea of the size of Executable code of fully
developed AI System versus a seed AI system?
Dan Goe
Mike Dougherty wrote:
On 6/2/06, *Charles D Hixson* [EMAIL PROTECTED]
mailto:[EMAIL PROTECTED] wrote:
Rule of thumb: First get it working, doing what you want. Then
optimize. When optimizing, first check your algorithms, then
check to
see where time is actually spent.
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