these things have definitions, folks.

everything isn't everything else.

s.

On Tue, Nov 3, 2009 at 7:43 AM, Willemien <wilem...@googlemail.com> wrote:
> I disagree with the point that MCTS is a neural network,
>
> In my opinion (and i maybe completely off target) One of the essences
> of neural networks is that the program changes/learns from the games
> it has played. .
>
> MCTS doesn't have that result, the improvement is only "in-game"
> The program doesn't learn not to make the same mistake anymore, by
> MCTS the mistake is hopefully avoided.
>
> if MTCS is a neyural network than alpha beta would also qualify.
>
> but i may be wrong it is just an opening for a discussion in which we
> all can learn
>
>
> 2009/11/2 Daniel Burgos <dbur...@gmail.com>:
>> Well, at its esence a computer is an universal Turing Machine. If you
>> organize the program as a neural network or as a MC algorithm is just
>> cosmetics.
>>
>> You can see the circuits of your computer as neurons simulating a Von
>> Neumann architecture that is simulating a neural network or a MC or
>> whatever. An may be your whatever is simulating another thing.
>>
>> 2009/11/2 Álvaro Begué <alvaro.be...@gmail.com>
>>>
>>> On Sun, Nov 1, 2009 at 7:50 PM, Aldric Giacomoni <ald...@trevoke.net>
>>> wrote:
>>> > Álvaro Begué wrote:
>>> >> 2009/10/31  <compgo...@aol.com>:
>>> >>> Present day MC Go programs are neural networks. The playout is the
>>> >>> trainng
>>> >>> process.
>>> >>
>>> >> What?
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>>> >
>>> > Go programs using the Monte-Carlo algorithms are neural networks. The
>>> > actual
>>> > fact of playing games is what trains them to play better.
>>> >
>>> > ... I'm pretty sure that's what it means, anyway.
>>>
>>> Except they don't fit any definition of "neural network" that I've
>>> been able to find. For starters, they don't have neurons.
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>>
>>
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