Configural information processing in three-dimensional nonmetric multiple-cue probability learning environments was studied. It was found that subjects did utilize configural information of the overall pattern and of subpatterns. This utilization was higher for simpler patterns and for those containing relevant dimensional information. Dimensional information processing was also found and was both stronger than configural information processing and unaffected by the level of configural information utilization. A model by Castellan and Edgell was found not to fit these data.