Steve,

 

Hi! Long time no see. You are describing yourself as an open system. I bet
you didn't put you hand in the fire all of a sudden, you approached
carefully. Then, you learned that the fire didn't burn that much. Your brain
used this new knowledge to quickly make a new causal chain, and you used it
to survive. 

 

I don't know of anyone who advocates things like absolute knowledge or
absolute certainty. Certainly not me. My causal sets cover all that. Let me
try to explain again. 

 

I never, EVER! I PROMISE! never think of a causal set as something static.
We constantly learn, from teachers, from what we see or hear or feel or
burn. Our brains constantly create new causal chains, and we use them as our
behavior. There is nothing infinite there. It is all perfectly finite. There
is nothing unknown, it is just what we know at that particular instant of
time. It can last only an instant, the next instant it changes. But at that
instant, and for that particular causal set that exists at that particular
instant, my theory predicts the resulting behavior. At the next instant,
there is another causal set, and anothe response. And so on. 

 

But there is one thing that is infinite: Mike's infinite variety. I KNOW,
REPEAT, I KNOW! DON'T TELL ME THIS AGAIN! I know that there is an infinite
variety. And here is the answer: while each causal set, the one that
corresponds to one particular instant of time, is finite, the NUMBER of
causal sets is infinite! In Math we say the set of all causal set is
infinite. So no matter what knowledge you encounter in your life, or what
variety of situations you confront, or how much you learn, everything will
always be finite, and any causal set you may encounter will always be
available to your brain. 

 

Why AI failed? Why intelligence can not be engineered? Because engineers do
not know how to infer a behavior for a given causal set. So they use the
inference in their own brains to do the inference, just like you did with
the fire, and finally write a computer program for that. This is impossible,
because, as I just explained, the number of possible cases, or possible
causets, is infinite. That's where the infinite creeps in into AI/AGI. 

 

I am NOT DOING THAT! That's the difference! I have the inference, so I wait
until I KNOW something (this fire doesn't burn), and only then infer the
behavior. For each an every instant of time. Next instant, I'll do it again,
and it will be different. 

 

 

Sergio

 

From: Steve Richfield [mailto:[email protected]] 
Sent: Thursday, June 21, 2012 3:46 PM
To: AGI
Subject: Re: [agi] Prediction Did Not Work (except in narrow ai.)

 

Sergio and Jim,

On Thu, Jun 21, 2012 at 12:15 PM, Jim Bromer <[email protected]> wrote:

On Thu, Jun 21, 2012 at 11:04 AM, Sergio Pissanetzky
<[email protected]> wrote: 

Jim,

 

thanks. I was thinking about how we use prediction for survival. Without
prediction I would put my hand in the fire and leave it there, because I
would not be able to predict that fire causes pain.


There is absolutely nothing that you know for absolutely sure. Realizing
this can sometimes save your life.

I remember being camped near a high-altitude frozen pond above Blanka Lake
in the Cascade Mountains without adequate clothing. My brother and I built a
fire, but there was no dried out wood, so while the flames looked hot, they
were not. We spent the night with our hands in the flames, burned all the
hair off of the backs of our hands, but the flames felt like warm air and
did NOT burn our hands. Had we "known" not to put our hands into the flames,
I might not now have fingers to write this.

Or that food is good for hunger.


Of course, there are plenty of things that you should NOT eat to satisfy
your hunger.
 

Just like a tree. Locomotion goes with prediction, without it I would be
able to avoid pain, or seek food. Just like a tree. That's why we have a
brain, to predict and to move.


I believe that "prediction" is just a special case where the probability is
high. Probabilities are never 100.0000000%

Steve




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