Loosemore, et al,
Just to get this discussion out of esoteric math, here is a REALLY SIMPLE
way of doing unsupervised learning with dp/dt that looks like it ought to
work.
Suppose we record each occurrence of the inputs to a neuron, keeping
counters to identify how many times each combination
Reading this -
http://www.nytimes.com/2008/12/23/health/23blin.html?ref=science
makes me wonder what other circuitry we have that's discouraged from being
accepted.
John
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From: Matt Mahoney [mailto:matmaho...@yahoo.com]
--- On Sat, 12/27/08, John G. Rose johnr...@polyplexic.com wrote:
Well I think consciousness must be some sort of out of band
intelligence
that bolsters an entity in terms of survival. Intelligence probably
stratifies or optimizes in
John G. Rose wrote:
Reading this -
http://www.nytimes.com/2008/12/23/health/23blin.html?ref=science
makes me wonder what other circuitry we have that's discouraged from
being accepted.
This blindsight news is not really news. It has been known for decades
that there are two separate
--- On Sun, 12/28/08, John G. Rose johnr...@polyplexic.com wrote:
So maybe for improved genetic
algorithms used for obtaining max compression there needs to be a
consciousness component in the agents? Just an idea I think there is
potential for distributed consciousness inside of command
Steve,
This sort of simple solution us what makes me say that relational
learning is where real progress is to be made. That's not to say that
we shouldn't rely on past work in flat learning: a great deal of
progress has been made in that area, boosting them far beyond what
simplistic solutions
Steve,
There has been plenty of speculation regarding just WHAT is buried in those
principal components.
Do they generally comprise simple combinations if identifiable features, or
some sort of smushing
that virtually encrypts the features? I have heard arguments on both sides
of this
Robert,
What kind of problems have you designed this to solve? Can you give some
examples?
Robert:
A brief paper on an AGI system for human-level ...had only 2 pages to
fit in.
If you are working on a system, you probably hope it will one day help
design a better world,
2008/12/27 Matt Mahoney matmaho...@yahoo.com:
--- On Fri, 12/26/08, Philip Hunt cabala...@googlemail.com wrote:
Humans are very good at predicting sequences of
symbols, e.g. the next word in a text stream.
Why not have that as your problem domain, instead of text
compression?
That's the
2008/12/28 Philip Hunt cabala...@googlemail.com:
Now, consider if I build a program that can predict how some sequences
will continue. For example, given
ABACADAEA
it'll predict the next letter is F, or given:
1 2 4 8 16 32
it'll predict the next number is 64. (Whether the program
Mike,
Mike wrote:
What kind of problems have you designed this to solve? Can you give some
examples?
Natural language understanding, path finding, game playing
Any problems that can be represented as a situation in the four component
domain (value - role - relation - feature models) can
Robert:
Example:
Here's a pattern example you may not have seen before, but by 3C you discover
the pattern and how to make an example:
As spoken aloud:
five and nine[is] fine
two and six [is] twix
five and seven [is] fiven
Robert,
So, if I understand, you're designing a system
2008/12/29 Matt Mahoney matmaho...@yahoo.com:
Please remember that I am not proposing compression as a solution to the AGI
problem. I am proposing it as a measure of progress in an important component
(prediction).
Then why not cut out the middleman and measure prediction directly?
I.e. put
Mike,
Very good choice.
But the system always *knows* these domains beforehand - and that it must
consider them in any problem?
YES the domains content structure is what you mean, are the human-centric
ones provided by living a childs life loading the value system with biases such
as
Robert,
Thanks for your detailed, helpful replies. I like your approach of operating in
multiple domains for problemsolving. But if the domains are known beforehand,
then it's not truly creative problemsolving - where you do have to be prepared
to go in search of the appropriate domains - and
Steve,
I should have specified further. When I say good I mean good at
predicting. PCA attempts to isolate components that give maximum
information... so my question to you becomes, do you think that the
problem you're pointing towards is suboptimal models that don't
predict the data well enough,
2008/12/29 Philip Hunt cabala...@googlemail.com:
2008/12/29 Matt Mahoney matmaho...@yahoo.com:
Please remember that I am not proposing compression as a solution to the AGI
problem. I am proposing it as a measure of progress in an important
component (prediction).
[...]
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