Rapid communication: Sex differences in artificial grammar learning: Evidence for different strategies in men and women

Abstract

In this article we report an experiment that investigated differences in classification performance of women and men in artificial grammar learning (AGL). Women's and men's responses correspond to a large extent. Consistent differences, however, were found in a variable that codes overlaps between training and test items in terms of string fragments. The results are best explained by the assumption that women and men apply different cognitive strategies at test.