ANASTASIOS> A little ill-defined, any dimensional or complexity bounds for that 
"function" ...

SERGIO> Short answer, assuming you know what a complex adaptive system (CAS) 
is, and some Math and Physics. It's a functional, not a function. The problem 
space is a causal set representing a CAS. The functional represents the entropy 
(more precisely, the action) existing in the information acquired by the CAS 
(for example, from sensors or cameras). The information comes with entropy. The 
entropy processor removes the excess entropy, causing the CAS to self-organize, 
that is, converge to its attractor. And the attractor is an algorithm. For 
example, it can drive the actuators in a robot. Mostly all is published. The 
functional is very simple, given in Section 3.5 of my 2011 Complexity paper, 
Complexity 17(2): 19–38 (note I said partially ordered sets in the paper, but 
they are actually causal sets). You can also check my website 
www.SciControls.com. Everything is very precisely defined. 

 

 

ANASTASIOS>  ... and its problem space? 

SERGIO> The given causal set, representing all the information available to the 
CAS at any particular time. The causal set grows, from learning, so 
self-organization is an ongoing process. 

 

 

ANASTASIOS> The entropy processor as in ...(example of software or hardware 
completed or under construction?)

SERGIO> I implemented the EP on my PC years ago, and solved some examples with 
it. They are listed or referenced in my Complexity paper. My student also built 
one as part of his Master Thesis. But it's too slow, and I need special 
hardware. I have plans to build an FPGA for a USB port, hopefully next spring. 
Perhaps some 50,000 neurons, but I don't know for sure. 

 

 

ANASTASIOS> What would your "exact same AGI machine" be comparing? 

SERGIO> I meant the AGI machine will pass all benchmarks together, rather than 
re-programming the machine specifically for each benchnmark. 

 

 

ANASTASIOS> One entropy processor against another? 

SERGIO> No, "the" EP directly against the human brain. A human is given a 
problem statement (one of the GUAPs), and asked to solve the problem, without 
telling her why. The solution is documented, and the human is dismissed. Then 
the machine does the same, and the two solutions are compared. They must be 
nearly identical. There are some problem/solution pairs published, but 
additional ones can be generated if needed. Google has some patents for entropy 
processors, but those are for video only, not useful for AGI. 

 

 

ANASTASIOS> One functional against the other? 

SERGIO> The entropy is one thing, so the functional is unique, there can't be 
any other. Of course one can "invent" another, but it would have no physical 
meaning and would not do what the brain does. The brain is a physical system so 
the functional must have a physical meaning or it will not do what the brain 
does. 

 

 

Sergio

 

-----Original Message-----
From: Anastasios Tsiolakidis [mailto:[email protected]] 
Sent: Friday, August 31, 2012 10:04 AM
To: AGI
Subject: Re: [agi] Your essential AGI modules and breakthroughs, again?

 

On Fri, Aug 31, 2012 at 3:49 PM, Sergio Pissanetzky < 
<mailto:[email protected]> [email protected]> wrote:

> The breakthrough is the action functional that powers emergent inference, the 
> non-negotiable module is the entropy processor.

 

A little ill-defined, any dimensional or complexity bounds for that "function" 
and its problem space? The entropy processor as in ...

example of software or hardware completed or under construction?

 

> Benchmarking would relatively easy. It would consist of solving 

> various problems of the kind "easy for man, difficult for machine"  

> (the GUAPs), under the conditions that the exact same AGI machine is 

> used for all problems

 

Right, our "problem" is that we are looking for benchmarks and test suites that 
allow for partial solutions, so that we know we are making progress, rather 
than pit AGIs against each other to see which one is more optimal or 
megabrainish. What would your "exact same AGI machine"

be comparing? One entropy processor against another? One functional against the 
other?

 

> 

> Why do you ask?

 

I was running a little short of ideas for my own design :)

 

AT

 

 

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