On Sun, May 29, 2016 at 05:38:59PM +0200, Bruno Marchal wrote:
> >On Friday, May 27, 2016 at 3:58:11 AM UTC+10, John Clark wrote:
> >​Richard Dawkins​ said​ "The theory of evolution by cumulative
> >natural selection is the only theory we know of that is, in
> >principle, capable of explaining the existence of organized
> >complexity."​
> 
> This is just ridiculous. Elementary arithmetic leads to all possible
> levels of complexity, from computable linear and polynomial to the
> degrees of unsolvability (sigma_i, pi_i, delta_i, i = 0, 1, ...).
> 
> Some percolation process, some universal cellular automata, or
> simply the Mandelbrot set, illustrate also how complexity can arise
> from very simple iteration of very simple number (natural, or not)
> number relations.
> 

I am ambivalent on this. Technically, measuring complexity by means of
a Turing machine, as in Kolmogorov-Chaitin-Solomonoff complexity, an
algorithmic process such as your examples above cannot lead to an
increase of complexity.

The only way we can say that the aforementioned examples lead to an
increase in complexity is if the algorithmic process in question
remained forever cryptic to the observer measuring the complexity.

I don't any form of proof that a learning process cannot learn the
underlying algorithm of say the evolution of a Mandelbrot set.

On the other hand, if the process involved were genuinely random, and
even your FPI satisfies this, then evolution operating on it will
generate plenty of complexity. It is a reasonable hypothesis, though
by no means proven, that evolution is the only possible sort of
process that can create complexity.

Cheers

-- 

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Dr Russell Standish                    Phone 0425 253119 (mobile)
Principal, High Performance Coders
Visiting Senior Research Fellow        [email protected]
Economics, Kingston University         http://www.hpcoders.com.au
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