Abstract
Relational reasoning is often considered more resource intensive than feature-based reasoning. This view implies that learning categories defined by relational regularities should be more difficult than learning categories defined by featural regularities. Unfortunately previous studies do not ground featural and relational information in a common perceptual substrate. After addressing this concern, a series of experiments compare learning performance for relation- and feature-based categories. Under certain circumstances we find faster learning for relation-based categories. The results suggest that mechanisms rooted in relational processes (e.g., relative stimulus judgement, analogical comparison) facilitate or hinder learning depending on whether the relational processes highlight or obscure the underlying category structure. Conversely, category learning affects relational processes by promoting relational comparisons that increase the coherence of acquired categories. In contrast to the largely independent research efforts in category learning and analogy research, our findings suggest that learning and comparison processes are deeply intertwined.
Acknowledgments
This work was support by ASFOR grant FA9550–10–1–0268.
Notes
1One possible concern with this performance measure is that it could inflate estimates for conditions in which a large proportion of participants reach criterion, as it assumes that participants reaching criterion would be correct on future trials if they could maintain attention levels on the mastered task. An alternative analysis is to consider only those trials prior to reaching criterion. However, while this analysis suffers from the opposite concern, it yields the same pattern of results when applied to those cases in which the proportion of participants reaching criterion varies widely across conditions. The significant differences found in Experiments 2, 3, and 5 persist, t(51) = 5.89, p < .001, t(50) = 3.42, p = .001, and t(21) = 3.64, p = .002, respectively.
2Experiment 4 will provide a counterpoint in which this flexibility impedes learning of relation-based categories.