On Thu, Aug 22, 2013 at 9:43 PM, John Clark <[email protected]> wrote:

> On Thu, Aug 22, 2013  Chris de Morsella <[email protected]> wrote:
>
>
>> > A stochastic system may be reducible to being modeled by some set of
>> random variation
>>
>
> Yes.
>
>
>> >but In reality it is often a whole lot more subtle than that and the
>> "randomness" is not random
>>
>
> If it's not random then it happened for a reason, and things happen in a
> computer for a reason too.
>
> *>>Ask yourself this question, why weren't all those fantastically
>>> complex transient dynamic branches in a neural network by the name of
>>> Grandmaster Gary Kasparov able to beat a 16 year old computer running a 16
>>> year old chess program?*
>>>
>> **
>>
>
>>
> > not sure how this has bearing
>>
>
> Is that true, are you really not sure how that has any bearing? I am sure.
>
>  > The super computer that finally beat him had a massive number crunching
>> ability
>>
>
> At the time it may have been a supercomputer but that was 16 years ago and
> the computer you're reading this E mail message on right now is almost
> certainly more powerful than the computer that beat the best human chess
> player in the world. And chess programs have gotten a lot better too. So
> all that spaghetti and complexity at the cellular level that you were
> rhapsodizing about didn't work as well as an antique computer running a
> ancient chess program.
>
>   John K Clark
>

Both soft- and hardware still play a role. Kasparov's loss still smells
funky, even though now, I doubt Anand, Carlsen or GMs could consistently
stand a chance against say Houdini 3:
https://en.wikipedia.org/wiki/Houdini_%28chess%29

I'd say given current state of the art that they might draw a few games per
hundred. Perhaps win one every few hundred.

But even these fantastic engines have bugs like, which I've seen a few
times, so I still wouldn't bet the farm:

http://www.chess.com/forum/view/general/humans-v-houdini-chess-engine-elo-3300?page=22

PGC




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