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Walsh, Matthew M.; Gluck, Kevin A. – Cognitive Science, 2015
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…
Descriptors: Schemata (Cognition), Simulation, Semantics, Memory
Thiessen, Erik D.; Pavlik, Philip I., Jr. – Cognitive Science, 2013
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…
Descriptors: Mathematical Models, Memory, Language Acquisition, Learning
Reynolds, Jeremy R.; Zacks, Jeffrey M.; Braver, Todd S. – Cognitive Science, 2007
People tend to perceive ongoing continuous activity as series of discrete events. This partitioning of continuous activity may occur, in part, because events correspond to dynamic patterns that have recurred across different contexts. Recurring patterns may lead to reliable sequential dependencies in observers' experiences, which then can be used…
Descriptors: Prediction, Models, Mathematical Models, Simulation

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