Yes, that is a feature of the stack of coupons.RobertJasiek wrote:Universal environment: I suppose the constant drop also applies from the smallest positive value to 0.
Right.Even numbers of same values in the environment would add nothing to non-ko situations because of being equal options.
Ideal environments are special cases of universal environments such that playing first in the environment (by itself) yields an eventual gain of t/2, where t is the temperature of the environment. E.g., a stack of coupons with values 2 and 1. The temperature is 2 and the eventual gain from playing first is 2/2 = 1. Note that it does not matter if the number of '2' coupons is odd or even, the eventual gain is still 1.When you specify odd numbers of same values in the environment, I understand this to mean that there is the difficult case of even numbers of same values, of which an odd number are in the environment and an odd number are on the board. However, why does this not cover well the case of an even number of same values on the board? Surely, I must be overlooking some intention here.
Like the stack of coupons. Gote of the form {Tx | -Tx} are desirable because they do not change the count of the position.Ideal environment: For my applications, I have defined this to be on the board, simple gotes without follow-ups (need not be (Tx|-Tx) but can be (L|R) = Tx), finite, each value exactly once, constant drop D, smallest value being D.
As I have indicated, such an environment approaches what I term ideal when D is small enough. But not having it ideal in my terms may introduce complications. For instance, D may matter.
IMO, there is a natural progression in complexity. First, there is the traditional (miai) value of a play, how much it gains on average. As a general rule the play that gains the most is best. There are exceptions, as we know. The most obvious kind, which go players have known about for a long, long time, is getting the last play at the end of the game and at certain points in the game. We can be more specific than that. Getting the last play before a significant drop in temperature can be better than simply playing the largest play. Now, CGT has developed this idea more, through the study of infinitesimals. That is one branch of study that has its own complexity. Next, there are other exceptions where the best play is neither to make the largest play nor to take the last play before a significant temperature drop. IMO, for most people the study of these positions should come after the study of the first two.Getting tedomari: Sure, it is a useful idea. But - the question remains which advice to give. If one gives advice of standard play being to get the last value before a large drop, one must also study and explain conditions for or frequencies of this being correct.
BTW, I recommend the use of ideal environments, as I use the term. Doing so makes easier, and also more generalizable (as long as we remember that the generalizations are approximations
