Matt,

Understood. I suggest an entropy approach, based on the observation that
entropy reduction causes self-organization and the formation of patterns. To
my knowledge, this has never been tried before, except by me. I have reason
to believe that our brains work that way. 

The AGI machine I propose consists of an entropy processor with memory,
input and output, that's all. No computer, no program, except that almost
certainly the entropy processor will be a computer programmed for that task.
Completely problem-independent and data-agnostic. Everything else goes in as
data. It works, within my limitations, and I am trying to build a larger one
with an FPGA. 

One major difference with current AGI attempts, is that my AGI can not be
controlled. Your only interaction with it is to give it information. You can
see considerable similarities with humans. 

Sergio

-----Original Message-----
From: Matt Mahoney [mailto:[email protected]] 
Sent: Friday, August 24, 2012 9:17 AM
To: AGI
Subject: Re: [agi] Hugo de Garis on the Singhilarity Institute and the
hopelessness of Friendly AI ...

On Fri, Aug 24, 2012 at 9:52 AM, Sergio Pissanetzky <[email protected]>
wrote:
> No it's not. Because Watson and its program have been developed by 
> humans. I meant Google, as a machine, without any humans writing a 
> program and telling it how to learn to play chess.

So I guess what you want is a machine where you can describe the rules of
chess or any other game using English words, and it will learn to play the
game. That's a language modeling problem. It's one of the hard problems of
AI that we haven't solved yet, along with vision, hearing, robotics, music,
art, humor, and some others. I have no reason to believe that these problems
won't be solved eventually. It will probably require a lot of computing
power and a lot of human effort in programming and training. What do you
suggest?


-- Matt Mahoney, [email protected]


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