Proceedings of the Annual Meeting of the Cognitive Science Society

We investigate learning a set of causally related concepts from examples. W e show that human subjects make fewer errors and learn more rapidly when the set of concepts is logically consistent. W e compare the results of these subjects to subjects learning equivalent concepts that share sets of relevant features, but are not logically consistent. W e present a shared-task neural network model simulation of the psychological experimentation.