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Meier, Kimberly M.; Blair, Mark R. – Cognition, 2013
The current study investigates the relative extent to which information utility and planning efficiency guide information-sampling strategies in a classification task. Prior research has pointed to the importance of probability gain, the degree to which sampling a feature reduces the chance of error, in contexts where participants are restricted…
Descriptors: Sampling, Probability, Experiments, Eye Movements
Camilleri, Adrian R.; Newell, Ben R. – Cognition, 2013
Previous research has shown that many choice biases are attenuated when short-run decisions are reframed to the long run. However, this literature has been limited to description-based choice tasks in which possible outcomes and their probabilities are explicitly specified. A recent literature has emerged showing that many core results found using…
Descriptors: Probability, Sampling, Models, Outcomes of Education
Denison, Stephanie; Bonawitz, Elizabeth; Gopnik, Alison; Griffiths, Thomas L. – Cognition, 2013
We present a proposal--"The Sampling Hypothesis"--suggesting that the variability in young children's responses may be part of a rational strategy for inductive inference. In particular, we argue that young learners may be randomly sampling from the set of possible hypotheses that explain the observed data, producing different hypotheses with…
Descriptors: Sampling, Probability, Preschool Children, Inferences

Cohen, L. Jonathan – Cognition, 1979
Until recently, norms of experimental reasoning have lacked systematic theoretical development. Thus, it has been easy for psychologists like Tversky and Kahneman to misclassify certain human reasoning processes as being Pascalian and invalid, rather than as being Baconian and valid. (CP)
Descriptors: Abstract Reasoning, Cognitive Processes, Higher Education, Logical Thinking