Hal Finney wrote:
Isn't this fixed by saying that the uniform measure is not over all
universe histories, as you have it above, but over all programs that
generate universes? Now we have the advantage that short programs
generate more regular universes than long ones, and the WAP grows teeth.
rwas wrote:
--- Marchal [EMAIL PROTECTED] wrote:
Brent Meeker wrote:
On 10-Oct-01, Marchal wrote:
You talk like if you have a proof of the existence of matter. Like
if
it was
obvious subtancia are consistent. But you know substancia only
appears
in Aristote mind when
Zbigniew Motyka wrote:
[...]
http://iridia.ulb.ac.be/~marchal
It would be not polite from my side to express any opinion about UDA before
I really make acquaintance with it.
Thanks. I whish everyone were like you :-)
For now I may only repeat: When you start from some suitable axiomatic
Brent Meeker wrote:
On 10-Oct-01, Marchal wrote:
You talk like if you have a proof of the existence of matter. Like if
it was
obvious subtancia are consistent. But you know substancia only appears
in Aristote mind when he misunderstood Plato doctrine on intelligible
ideas.
(My opinion!).
Hal - that is not a uniform measure!
[EMAIL PROTECTED] wrote:
Juergen Schmidhuber writes:
But there is no uniform prior over all programs!
Just like there is no uniform prior over the integers.
To see this, just try to write one down.
I think there is. Given a program of length l,
Hal Finney wrote:
Juergen Schmidhuber writes:
But there is no uniform prior over all programs!
Just like there is no uniform prior over the integers.
To see this, just try to write one down.
I think there is. Given a program of length l, the prior probability
is 2^(-l). (That is 2 to
According to whim or taste implies a conscious entity performing
choices according to a free will. This need not be the case. In my
mind, random means selected without cause (or without
procedure/algorithm).
Russell picked my example from a language which has no equivalent to the
word random .
To try and settle this debate on uniform measures, the best definition
of measure I could find was at
http://www.probability.net/. Unfortunately, this site is rather
difficult to get into. However, a measure is a function m defined over
the subsets of the set O in question (eg O=Z in the case of
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