Thank you very much. It looks like a well though model. It makes a lot of sense.
I understand that the random positions are taken on the related board, so the result is indeed dependent of its dimensions (which is expected I guess).
That randomisation at the beginning explains why I get different results by re-doing the operation. For example with a Rook's value normalised at 5, on a regular 64-sq chessboard, I get Queen as 8.95; 9.2; 9.6; 9.8 on 4 consecutive trials.
I agree that this enough to what it is done for. I wonder if increasing the number of 10 positions would decrease the results' span.
Thank you very much. It looks like a well though model. It makes a lot of sense.
I understand that the random positions are taken on the related board, so the result is indeed dependent of its dimensions (which is expected I guess).
That randomisation at the beginning explains why I get different results by re-doing the operation. For example with a Rook's value normalised at 5, on a regular 64-sq chessboard, I get Queen as 8.95; 9.2; 9.6; 9.8 on 4 consecutive trials.
I agree that this enough to what it is done for. I wonder if increasing the number of 10 positions would decrease the results' span.
Thank you again for this detailed explanation