On Fri, Jul 2, 2010 at 2:09 PM, Jim Bromer <jimbro...@gmail.com> wrote:

>  On Wed, Jun 30, 2010 at 5:13 PM, Matt Mahoney <matmaho...@yahoo.com>wrote:
>
>>   Jim, what evidence do you have that Occam's Razor or algorithmic
>> information theory is wrong,
>> Also, what does this have to do with Cantor's diagonalization argument?
>> AIT considers only the countably infinite set of hypotheses.
>>  -- Matt Mahoney, matmaho...@yahoo.com
>>
>

>  There cannot be a one to one correspondence to the representation of the
> shortest program to produce a string and the strings that they produce.
> This means that if the consideration of the hypotheses were to be put into
> general mathematical form it must include the potential of many to one
> relations between candidate programs (or subprograms) and output strings.
>

But, there is also no way to determine what the "shortest" program is, since
there may be different programs that are the same length.  That means that
there is a many to one relation between programs and program "length".  So
the claim that you could just iterate through programs *by length* is
false.  This is the goal of algorithmic information theory not a premise
of a methodology that can be used.  So you have the diagonalization problem.



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agi
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