--- Brad Wyble <[EMAIL PROTECTED]> wrote:
> > Evolution is limited by mutation rates and generation times. Mammals
> > need from 1 to 15 years before they reach reproductive age. Generation
>
> That time is not useless or wasted. Their brains are acquiring
> information, molding themselves. I don't think you can just skip it.
You're confusing ontogeny with phylogeny. It's the latter that I'm speaking
of. Generation times are long because developmental pathways in biological
systems are slow. Developmental pathways exist because there's an unfortunate
disconnect between phenotypes and genotypes. Brains are not capable of
recursively self-improving their own wetware, and improvements have to waste
time by feeding back through the genome. A recursively self-improving machine
intelligence (or pre-intelligent artificial lifeform) won't have the burden of
developmental pathways and excessive generation times.
>
> > times are long and evolution is slow. A computer could eventually
> > simulate 10^9 (or 10^20, or whatever) generations per second, and
> > multiple mutation rates (to find optimal evolutionary methodologies).
> > It can already do as many operations per second, it just needs to be
> > able to do them for billions of agents.
> >
>
> 10^ 9 generations per second? This rate depends(inversely) on the
> complexity of your organism.
Defined properly, complexity is the inverse of entropy, and entropy is the
number of equivalent states that a system can obtain. Given this, I would not
be remiss in suggesting that the brain has more complexity then the molecular
architecture of the cell (due to its exquisite specification). Yet it took 3
billion years to refine the cell, and only a few hundred million to catapult
ganglionic masses into human-level intelligent. So while complexity defines a
proportional relationship with computational needs, selection conditions can
profoundly inverse those needs.
It may not takes seconds; it may take years, but I think it will be possible
within a few decades.
Martin Striz
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