For domains in which one is concerned with recognizing large ensembles
of weak patterns, the language one uses to represent patterns can make
a big difference...

Image analysis, genetic data analysis and financial prediction are
contexts in which I've found this to be the case

In these settings, if one does pattern recognition via automated
program learning with an Occam bias,
the underlying language relative to which the Occam bias is expressed
makes a big difference...

>From a different direction, consider Hutter's proof that AIXI-tl is as
good as any other reinforcement learning system ... up to an arbitrary
constant.  The arbitrary constant there is very large.  This is a
different but closely related contestant..

ben

On Mon, Aug 27, 2012 at 3:55 PM, Russell Wallace
<[email protected]> wrote:
> You say the constant involved in translating one programming language
> to another may be very large. I'm curious, do you have any examples in
> mind? It seems to me for the abstract mathematical purpose of defining
> Occam's razor the constant is in practice small (and for more
> practical purposes it's not a constant).
>
> On Mon, Aug 27, 2012 at 4:34 PM, Ben Goertzel <[email protected]> wrote:
>> Just some speculations about possible theoretical computer science I'd
>> do if I had the time ;p
>>
>>  
>> http://multiverseaccordingtoben.blogspot.com/2012/08/finding-right-computational-model-to.html
>>
>>
>> --
>> Ben Goertzel, PhD
>> http://goertzel.org
>>
>> "My humanity is a constant self-overcoming" -- Friedrich Nietzsche
>>
>>
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-- 
Ben Goertzel, PhD
http://goertzel.org

"My humanity is a constant self-overcoming" -- Friedrich Nietzsche


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