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.
Nice project!
I worked on this some time ago. I did not use neural networks but patterns
with feedback.
The problem with feedback is that it is difficult to know when it reaches
its final state. Usually you get oscillations and that state never happens.
I tried to solve that using timeouts, but
I agree one hundred percent. Indeed, using *nix because you don't want to
pay for the OS is a moral choice (for me this is not the best reason for
using *nix but I know that this is the main reason argued).
Otherwise, you will copy Windows as so many, many, many people do.
I see it this way, the
But it is very difficult that a board position is repeated between games. I
don't see how you will use the training pairs in the new games.
2007/5/17, George Dahl <[EMAIL PROTECTED]>:
What I am actually proposing is collapsing the results of the playouts
offline and then having a function that
I'm spanish too. I'm investigating with evolutionay algorithms and MC in my
spare time. No results yet...
Regards,
Dani
2007/3/28, Álvaro Begué <[EMAIL PROTECTED]>:
On 3/28/07, Nick Wedd <[EMAIL PROTECTED]> wrote:
> In message <[EMAIL PROTECTED]>, "Angel
> \"Java\" Lopez" <[EMAIL PROTECTED]>
I'm working now in a similar idea.
As yours, it will play only in one zone using MC. It will start on 7x7
sub-boards but they will grow once they become full of stones.
I will normalize the sub-board results using its area. It will help me to
compare the different sub-boards.
Once all the sub-b