To function well in an unpredictable environment using unreliable components, a system must have a high degree of robustness. Robustness is fundamental to biological systems and is an objective in the design of engineered systems such as airplane engines and buildings. Cognitive systems, like biological and engineered systems, exist within…

Statistical learning refers to the ability to identify structure in the input based on its statistical properties. For many linguistic structures, the relevant statistical features are distributional: They are related to the frequency and variability of exemplars in the input. These distributional regularities have been suggested to play a role in…

A model of association formation, storage, and retrieval is described. Experiments which test new predictions derived from the model against human recall are reported. The model is applied to previous findings: prototype abstraction, the A-B A-D paradigm and the Osgood transfer surface. Previous models of memory are discussed. (Author/RD)

Decision-making processes were investigated in a laboratory analogue of clinical diagnosis and through computer simulations of decision making. The data indicated that nonprobabilistic theories can provide plausible and complete accounts of decision behavior and can improve quantitative accuracy of predictions that are based on traditional…

Progress is reported on four research tasks. An experiment tested the effectiveness of a computer-based phonology instructional system for second-language learning. In research on models of human-computer interactions, experiments were performed demonstrating that the provision of certain incentives to the users of a time-sharing system can have…