[kermit_de_fro]

Alpha-Beta pruning is, to my knowledge, only really defined in a mini-max setup. By definition, it leverages the mini-max framework to prune areas of the search space.

You can apply the core concept -- refusing to expend computation effort when the result of that effort is guaranteed to not be used -- to any number of other methods and approaches in Machine Learning and AI.

[Shamiq]

As far as the first line in the wikipedia page goes..."Alpha-beta pruning is a search algorithm which seeks to reduce the number of nodes that are evaluated by the minimax algorithm in its search tree."[1] it seems like you're correct. Thanks.

[1] http://en.wikipedia.org/wiki/Alpha-beta_pruning