Suppose you have sets of "programs" that produce two strings.  One set of
outputs is 000000 and the other is 111111. Now suppose you used these sets
of programs to chart the probabilities of the output of the strings.  If the
two strings were each output by the same number of programs then you'd have
a .5 probability that either string would be output.  That's ok.  But, a
more interesting question is, given that the first digits are 000, what are
the chances that the next digit will be 1?  Dim Induction will report .5,
which of course is nonsense and a whole less useful than making a rough
guess.

But, of course, Solomonoff Induction purports to be able, if it was
feasible, to compute the possibilities for all possible programs.  Ok, but
now, try thinking about this a little bit.  If you have ever tried writing
random program instructions what do you usually get?  Well, I'll take a
hazard and guess (a lot better than the bogus method of confusing shallow
probability with "prediction" in my example) and say that you will get a lot
of programs that crash.  Well, most of my experiments with that have ended
up with programs that go into an infinite loop or which crash.  Now on a
universal Turing machine, the results would probably look a little
different.  Some strings will output nothing and go into an infinite loop.
Some programs will output something and then either stop outputting anything
or start outputting an infinite loop of the same substring.  Other programs
will go on to infinity producing something that looks like random strings.
But the idea that all possible programs would produce well distributed
strings is complete hogwash.  Since Solomonoff Induction does not define
what kind of programs should be used, the assumption that the distribution
would produce useful data is absurd.  In particular, the use of the method
to determine the probability based given an initial string (as in what
follows given the first digits are 000) is wrong as in really wrong.  The
idea that this crude probability can be used as "prediction" is
unsophisticated.

Of course you could develop an infinite set of Solomonoff Induction values
for each possible given initial sequence of digits.  Hey when you're working
with infeasible functions why not dream anything?

I might be wrong of course.  Maybe there is something you guys
haven't been able to get across to me.  Even if you can think for yourself
you can still make mistakes.  So if anyone has actually tried writing a
program to output all possible programs (up to some feasible point) on a
Turing Machine simulator, let me know how it went.

Jim Bromer



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