Does opposition logic provide evidence for conscious and unconscious processes in artificial grammar learning?

Beyond dissociation logic: evidence for controlled and automatic influences in artificial grammar learning.

Evidence for unconscious learning has typically been based on dissociations between direct and indirect tests of learning. Because of some inherent problems with dissociation logic, we applied the logic of opposition to 2 artificial grammar learning experiments. In Experiment 1, participants were exposed to 2 different sets of letter strings, generated from 2 different grammars, and later rated...

The Metacognitive Role of Familiarity in Artificial Grammar Learning: Transitions from Unconscious to Conscious Knowledge

Facial beauty affects implicit and explicit learning of men and women differently

The present work explores the unconscious and/or conscious nature of learning attractive faces of same and opposite sex, that is, of stimuli that experimental and neuroimaging research has shown to be rewarding and thus highly motivating. To this end, we examined performance of men and women while classifying strings of average and attractive faces for grammaticality in the experimental task of...

Opposition logic and neural network models in artificial grammar learning.

Following neural network simulations of the two experiments of, argued that the opposition logic advocated by was incapable of distinguishing between single and multiple influences on performance of artificial grammar learning and more generally. We show that their simulations do not support their conclusions. We also provide different neural network simulations that do simulate the essential r...

Knowledge Representation, Heuristics, and Awareness in Artificial Grammar Learning

..................................................................................................................................... V Studies ...................................................................................................................................... VII Acknowledgements ....................................................................................................