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Anderson, John R.; Fincham, Jon M. – Cognitive Science, 2014
Multi-voxel pattern recognition techniques combined with Hidden Markov models can be used to discover the mental states that people go through in performing a task. The combined method identifies both the mental states and how their durations vary with experimental conditions. We apply this method to a task where participants solve novel…
Descriptors: Cognitive Structures, Pattern Recognition, Markov Processes, Cognitive Processes
Anderson, John R.; Carter, Cameron S.; Fincham, Jon M.; Qin, Yulin; Ravizza, Susan M.; Rosenberg-Lee, Miriam – Cognitive Science, 2008
This article investigates the potential of fMRI to test assumptions about different components in models of complex cognitive tasks. If the components of a model can be associated with specific brain regions, one can make predictions for the temporal course of the BOLD response in these regions. An event-locked procedure is described for dealing…
Descriptors: Brain, Cognitive Processes, Diagnostic Tests, Brain Hemisphere Functions
Anderson, John R. – Cognitive Science, 2005
This article describes the Adaptive Control of Thought-Rational (ACT-R) cognitive architecture (Anderson et al., 2004; Anderson & Lebiere, 1998) and its detailed application to the learning of algebraic symbol manipulation. The theory is applied to modeling the data from a study by Qin, Anderson, Silk, Stenger, & Carter (2004) in which children…
Descriptors: Cognitive Processes, Models, Symbols (Mathematics), Algebra
Pavlik, Philip I., Jr.; Anderson, John R. – Cognitive Science, 2005
An experiment was performed to investigate the effects of practice and spacing on retention of Japanese-English vocabulary paired associates. The relative benefit of spacing increased with increased practice and with longer retention intervals. Data were fitted with an activation-based memory model, which proposes that each time an item is…
Descriptors: Memory, Vocabulary, Models, Investigations
Budiu, Raluca; Anderson, John R. – Cognitive Science, 2004
We present interpretation-based processing--a theory of sentence processing that builds a syntactic and a semantic representation for a sentence and assigns an interpretation to the sentence as soon as possible. That interpretation can further participate in comprehension and in lexical processing and is vital for relating the sentence to the…
Descriptors: Semantics, Language Processing, Linguistic Theory, Word Processing

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