"To build an AGI you must build the physics of a brain, not the physics of a
computer."

 

I'd say you must understand the physics of the brain, or even better,
understand the simplicity underlying the physics of the brain. 

Once you understand the principle of that simplicity, you can use it in
other ways. Just as we use the principles of fire to build internal
combustion engines.  

 

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.

 




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