From: Nick Tarleton (email@example.com)
Date: Tue Nov 25 2008 - 18:12:58 MST
On Tue, Nov 25, 2008 at 4:10 PM, Matt Mahoney <firstname.lastname@example.org> wrote:
> --- On Tue, 11/25/08, Peter de Blanc <email@example.com> wrote:
> > Matt, your paper ends in the conclusion, "it seems
> > that even though RSI is possible in a mathematical sense, it
> > is too slow to be of practical use, or to compete with
> > evolutionary systems, at least for fixed goals." What
> > is the justification for this statement?
> The rate of information gain for RSI is O(log t).
Why do you identify intelligence with algorithmic complexity, again?
> The information gain for evolution is O(t), or 1 bit per population
> doubling and selection.
Really? Evolution isn't magic, and the suggestion that it can provably beat
all forms of intelligence is extremely suspicious. I can run an evolving
population in a closed simulation, where all the bits not describing the
evolving agents and their environment start as 0, or something similarly
low-complexity, and then apply your proof. This is for the whole population,
and picking out a random individual would require individual information
growing at O(a^t), but picking out the maximal individual(s) according to
some utility function would only add a constant factor (complexity of the
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