Ben, just one detail I forgot to mention in my previous reply:
BEN SAID> I don't find the notion of causation particularly useful in a
scientific context, it strikes me as mainly a "folk psychology" concept,
like "free will" ...
BEN SAID> I don't think poset theory "looks like the brain" very much at
all.
SERGIO REPLIES> Causets (not posets) exhibit deterministic chaos (details
left out). A minuscule change in the source information results in
enormously large changes in the outcome. If there is a yes/no decision that
depends on the outcome, then that decision may appear to depend on the
individual making it. No two individuals will have exactly the same
information available to them, and will make different decisions, giving the
impression of free will even though the decision is perfectly deterministic.
No, free will is not flok psychology. I still think causet theory looks a
lot like the brain. From the start. 

Sergio

-----Original Message-----
From: Ben Goertzel [mailto:[email protected]] 
Sent: Friday, June 08, 2012 4:17 PM
To: AGI
Subject: Re: [agi] The Visual Alphabet

> Still, you are ignoring a number of facts:
> 1. The brain is the only known "intelligent" system. This defines 
> intelligence.

Yeah, just as birds define flying... right... ;p

> 2. Sensory organs generate causets and feed them to afferent nerves 
> and the brain.
> 3. Muscles receive causets from brain/efferent nerves.
> 4. Unless you believe in magic, or in what Kauffman says about Quantum 
> Mechanics in the brain, or something else, the brain is a complex 
> causal physical system. Physics envy or not.
> 5. Causal systems have properties. For example, they can learn (grow). 
> It is not wise to dismiss these properties as "not fundamental."

I don't remember what a "causet" is, but if I replace it with "packets of
information"
then the above statements seem obvious

I don't find the notion of causation particularly useful in a scientific
context, it strikes me as mainly a "folk psychology" concept, like "free
will" ...

> 6. EI is a new type of inference. It is inference because it allows 
> one to derive new facts from known facts. It is not wise to disregard 
> EI because "I" am or am not well informed. What does "I" have to do with
EI?
> 7. EI does not linearize anything. It dissipates energy, which is 
> something all physical systems can do, even the brain.
> 8. EI is not heuristic.
> 9. EI is a function that maps from a countably infinite set to 
> another, the set of "raw" causets, as they come in from sensors or 
> senses, broken into tiny pieces, to the set of "organized" causets. 
> Actually the two sets are the same, they are the same causets, but the
organization is a new fact.

The mathematics of EI is pleasant enough, though my poset-theory-expert
friend commented that it largely consists of stuff that poset theorists know
already, explained using eccentric terminology...

But its importance for AI or neural modeling is a different story, which I
don't yet buy into...

> 10.  2-9 look a lot like the brain. Certainly more than any other type 
> of inference that we know.

I don't think poset theory "looks like the brain" very much at all.

If I had to pick a branch of math to cite in this context -- Nonlinear
dynamical systems theory looks a lot more like the brain, and has a lot more
demonstrated use for modeling brain function.   Look at Izhikevich's
book on the geometry of biologically realistic neural nets, for example


> The reason why chemists can design chemicals, or aeronautical 
> engineers can design aircraft, is because they understand the principles
of their science.
> And once they understand the principles, they can use them in 
> ingenious and creative ways. Otherwise it would be alchemy of kite 
> flying. AGI does not have a principle. This does not mean that 
> "anything goes." It only means that AGI needs a principle, and we all 
> ought to be trying to find it. Only then will we be able to engineer
intelligent systems.

Chemistry and biology don't have simple, elegant unifying principles in the
sense that physics does.  They  have multiple principles on various levels
with various levels of certitude....  I suspect the science of intelligence
will be the same way.  And we are gradually building those principles as we
do AGI and cognitive science.  There will be no "quick fix", no simple
elegant set of mathematical principles of intelligence that lets you
formulaically design an AGI system on the back of an envelope.

> Ben, it seems you still don't understand EI, and/or don't believe that 
> EI is inference, and is new. Just look no further than my section on 
> Small Systems in my paper. Any sensible person, particularly one who 
> is searching for machine intelligence, should be wondering how did 
> that happen, and what can one do with it.

I read that, and
I really don't see what those mathematical games have to say about general
intelligence....

>I am sorry if I am hurting your interests, but I already  warned months 
>ago about the responsibility of claiming AGI. If this one  fails, there 
>may not be another for a long time.

The only way you're "hurting my interests" is by occupying a small fraction
of my time on a not-so-productive email thread... ;p

Regarding "claiming AGI" --- nobody sane that I know is claiming to have
created AGI.   Claiming to be on a plausible path to AGI is a different
thing.

From your standpoint, since you think I'm doomed to fail due to my not
embracing the cosmic truth of EI, I guess it's unfortunate that I claim to
be on a plausible path to AGI.

From my perspective, since I genuinely think I *am*, it would be
irresponsible for me to hide in a hole and shut up about it ;)

-- Ben G


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