SoftMax activation function

I reinvented the softmax function for the problem of estimating the distribution of probabilities of chess moves in a given position. I assign a score to each move using a traditional alpha-beta search and then convert them to probabilities using softmax. You can train a few weights in the evaluation function to make the distribution of probabilities as close to a training database as possible.

I do this to decide what branches to explore deeper in an experimental chess program, but then I found out that other people have used the same technique to try to quantify playing styles: See this article.

Anyway, I didn't know until I did a Google search today that this thing was called softmax, but it makes sense. If you multiply all your scores by a large number, you get a probability distribution that just picks the maximum.

What about other non-puzzle applications?