Ok, one could imagine thousands of very lightweight processors that 
independently process very high resolution sensor data, and share it 
asynchronously.  Also one could show that the sensors were as good or better 
than human sensitivity.  All of the events could be tagged with very high 
precision atomic clocks and logged.  Then the events could be sorted by that 
tag.   Somehow `flattening' is important to you here, but I haven't figured out 
why.   Anyway, once flattening was accomplished to understand what was going on 
it would just have to be unflattened again, like using some communication 
sequential processes formalism.

-----Original Message-----
From: Friam [mailto:[email protected]] On Behalf Of glen ?
Sent: Tuesday, February 07, 2017 2:28 PM
To: The Friday Morning Applied Complexity Coffee Group <[email protected]>
Subject: Re: [FRIAM] loopiness (again)

On 02/07/2017 01:17 PM, Marcus Daniels wrote:
> For a robot built on digital technology, sensor data would be quantized to 
> bits, thus non face-to-face words. 

I don't think so.  Proprioception is a critical type of sensor data, especially 
enteroception.  While it may seem like the robot's entire sensorimotor space 
can be flattened, I'm not convinced.  I even doubt the parallelism theorem 
(that any parallel computation can be perfectly simulated by a sequential one) 
when we're talking about _multiple_ processors interacting in a cross-trophic 
(time and space) way with each other and the environment.

To argue that all of what's inside can be adequately represented by what goes 
in or out (holographic principle) is fideistic.

--
☣ glen

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