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Goodman, Noah D.; Ullman, Tomer D.; Tenenbaum, Joshua B. – Psychological Review, 2011
The very early appearance of abstract knowledge is often taken as evidence for innateness. We explore the relative learning speeds of abstract and specific knowledge within a Bayesian framework and the role for innate structure. We focus on knowledge about causality, seen as a domain-general intuitive theory, and ask whether this knowledge can be…
Descriptors: Causal Models, Logical Thinking, Cognitive Development, Bayesian Statistics
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French, Robert M.; Addyman, Caspar; Mareschal, Denis – Psychological Review, 2011
Individuals of all ages extract structure from the sequences of patterns they encounter in their environment, an ability that is at the very heart of cognition. Exactly what underlies this ability has been the subject of much debate over the years. A novel mechanism, implicit chunk recognition (ICR), is proposed for sequence segmentation and chunk…
Descriptors: Infants, Probability, Learning Processes, Pattern Recognition
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Holden, John G.; Van Orden, Guy C.; Turvey, Michael T. – Psychological Review, 2009
Trial-to-trial variation in word-pronunciation times exhibits 1/f scaling. One explanation is that human performances are consequent on multiplicative interactions among interdependent processes-interaction dominant dynamics. This article describes simulated distributions of pronunciation times in a further test for multiplicative interactions and…
Descriptors: Interaction, Cognitive Processes, Probability, Reaction Time
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Jozefowiez, J.; Staddon, J. E. R.; Cerutti, D. T. – Psychological Review, 2009
The authors propose a simple behavioral economic model (BEM) describing how reinforcement and interval timing interact. The model assumes a Weber-law-compliant logarithmic representation of time. Associated with each represented time value are the payoffs that have been obtained for each possible response. At a given real time, the response with…
Descriptors: Intervals, Metacognition, Reinforcement, Time
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Thomas, Rick P.; Dougherty, Michael R.; Sprenger, Amber M.; Harbison, J. Isaiah – Psychological Review, 2008
Diagnostic hypothesis-generation processes are ubiquitous in human reasoning. For example, clinicians generate disease hypotheses to explain symptoms and help guide treatment, auditors generate hypotheses for identifying sources of accounting errors, and laypeople generate hypotheses to explain patterns of information (i.e., data) in the…
Descriptors: Hypothesis Testing, Learning Processes, Probability, Thinking Skills