So you admit that all AGI is doing is simulating. It's not an actual anything. 
AGI with computers is merely simulation/study of cognitive processes, not 
cognition.

If AGI were flight, this is its story:

It's the 1950s. You want to fly. You build a flight simulator, get in, fly 
someplace, get out, and you are not there! Undeterred, you build another. Same 
result. And again.

Again. Again. Again. For *60 years*.

Spectacular flight simulators litter the science landscape, but flight eludes 
you. At no stage does it occur to you that the physics of flight are the place 
to start.

For 60 years, $Millions have been spent every year chasing the AGI rainbow with 
computers. [Billions are 
planned](http://www.nature.com/news/computer-modelling-brain-in-a-box-1.10066).

Past and planned funding for AGI using brain physics?      _$Nil_.


I am suggesting that using actual brain physics, and NOT a computer might, like 
it has for thousands of years in science, make actual cognition. Brain physics 
could do with non_zero level of $attention, instead of unprecedented and  
factually unsupported religious headbanging, failure after failure.

You build cognition... then you work out how it works. NOT the other way 
around. Just like we have done elsewhere for millennia.

Colin



From: Sergio Pissanetzky [mailto:[email protected]]
Sent: Friday, 8 June 2012 2:49 AM
To: AGI
Subject: RE: [agi] Embodied approaches to computation

COLIN>  computed fire physics studies fire but does not make fire.
SERGIO> Of course not. But it can predict fire pretty well.

Sergio.

From: Colin Geoffrey Hales [mailto:[email protected]]
Sent: Monday, June 04, 2012 9:15 PM
To: AGI
Subject: RE: [agi] Embodied approaches to computation

Is the article about studying computational models of cognition (weak-AI),  or 
making an artificial brain (strong-AI) with computation. The same way computed 
fire physics studies fire but does not make fire.

You can interpret it the way you want. Watch out.

A strong-AI presupposition cannot be used to bypass the reality that the real 
brain gets experiences from the real physics of brain tissue, not from I/O 
signals (whether there is embodiment or not).

I know this shakes the AGI community tree. This will not go away as a weakness 
in the discussion until we all face up to it. To build an AGI you must build 
the physics of a brain, not the physics of a computer.

Cheers,

Colin
PS.  No, physics is not digital, The C-T thesis is irrelevant/misapplied, 
cognition is not computation and Moore's law won't fix any of these shortfalls 
(preemptive rebuttal). Sorry.

From: Mike Tintner 
[mailto:[email protected]]<mailto:[mailto:[email protected]]>
Sent: Sunday, May 27, 2012 8:58 AM
To: AGI
Subject: [agi] Embodied approaches to computation

Pezzulo, G., Barsalou, L.W., Cangelosi, A., Fischer, M.A., McRae, K., Spivey, 
M. (2011). The mechanics of embodiment: A dialogue on embodiment and 
computational modeling. Frontiers in 
Cognition<http://psychology.emory.edu/cognition/barsalou/papers/Pezzulo%20et%20al%20-%20Frontiers%20Psych%202011-%20embodiment%20&%20computation.pdf>,
 2(5), 1-21.


Embodied theories are increasingly challenging traditional views of cognition 
by arguing that

conceptual representations that constitute our knowledge are grounded in 
sensory and motor

experiences, and processed at this sensorimotor level, rather than being 
represented and processed

abstractly in an amodal conceptual system. Given the established empirical 
foundation, and the

relatively underspecified theories to date, many researchers are extremely 
interested in embodied

cognition but are clamoring for more mechanistic implementations...



http://psychology.emory.edu/cognition/barsalou/papers/Pezzulo%20et%20al%20-%20Frontiers%20Psych%202011-%20embodiment%20&%20computation.pdf
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