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Gonzalez, Cleotilde; Dutt, Varun – Psychological Review, 2012
Hills and Hertwig (2012) challenge the proposed similarity of the exploration-exploitation transitions found in Gonzalez and Dutt (2011) between the 2 experimental paradigms of decisions from experience (sampling and repeated-choice), which was predicted by an instance-based learning (IBL) model. The heart of their argument is that in the sampling…
Descriptors: Data, Models, Learning Processes, Criticism
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
Denrell, Jerker – Psychological Review, 2007
Humans and animals learn from experience by reducing the probability of sampling alternatives with poor past outcomes. Using simulations, J. G. March (1996) illustrated how such adaptive sampling could lead to risk-averse as well as risk-seeking behavior. In this article, the author develops a formal theory of how adaptive sampling influences risk…
Descriptors: Sampling, Decision Making, Risk, Models

Ashby, F. Gregory; Townsend, James T. – Psychological Review, 1986
Several varieties of perceptual independence are investigated, including sampling independence, dimensional orthogonality, stimulus separability and integrality, and performance parity. A general multivariate perceptual theory is developed, and a precise definition of perceptual independence is offered. (Author/LMO)
Descriptors: Cognitive Style, Decision Making, Learning Processes, Mathematical Models
Frank, Michael J.; Claus, Eric D. – Psychological Review, 2006
The authors explore the division of labor between the basal ganglia-dopamine (BG-DA) system and the orbitofrontal cortex (OFC) in decision making. They show that a primitive neural network model of the BG-DA system slowly learns to make decisions on the basis of the relative probability of rewards but is not as sensitive to (a) recency or (b) the…
Descriptors: Brain, Decision Making, Probability, Reinforcement