[ExI] Vermis ex machina

[Stuart LaForge]

Quoting Rafal Smigrodzki <rafal.smigrodzki at gmail.com>;

>  
> On Sat, Feb 28, 2015 at 7:20 PM, Stuart LaForge <avant at sollegro.com> wrote:
>
>  Assuming that the levels of redundancy in the worm brain and human  
> brain are similar we should be able to calculate the Kolmogorov  
> complexity of the human brain in a similar fashion, K(h) = S*K(w).
>
> ### I don't think that the human brain has the same level of  
> redundancy as the worm system. The worm has each neuron and synapse  
> hardwired, there is really no redundancy at all, a loss of any  
> single neuron is likely to produce a change in the system behavior  
> that might be quite substantial. The human brain is wired  
> stochastically, keeps rewiring itself from minute to minute,  
> millions of neurons die daily and yet the system is stable over  
> decades. Most likely human brains have a lot more redundancy than  
> the worm, which means that the uploading requirements might be lower  
> than your estimate.
> Rafal

I won't argue with your point, since I would be happy with my estimate  
being an upper bound with an error of an order of magnitude. It is  
certainly a much tighter upper bound than the Beckenstein limit which  
seems to give John Clark conniptions. If there are better estimates  
based on some combination of math and empirical observations, I would  
like to know those as well.

Although your comment does raise the question of how much redundancy  
is necessary to simulate the human brain. After all computer data is  
prone to bit rot and other forms of data corruption, so for long-term  
robustness of "identity" the redundancy might be unavoidable lest it  
be satisfactory that entropy have its way with uploads.

Stuart LaForge