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Journal of Experimental Psychology. Learning, Memory, and Cognition|December 12, 2024
Learning from missing feedback: Exemplar versus model-based methodsJerker Denrell, Adam N Sanborn, Jake Spicer
Current Opinion in Neurobiology|March 15, 2019
What does the mind learn? A comparison of human and machine learning representationsJake Spicer, Adam N Sanborn
Cognitive Psychology|July 6, 2020
Using Occam's razor and Bayesian modelling to compare discrete and continuous representations in numerosity judgementsJake Spicer, Adam N Sanborn, Ulrik R Beierholm
Harvard Business Review|April 6, 2005
Selection bias and the perils of benchmarkingJerker Denrell
The Behavioral and Brain Sciences|March 12, 2020
Sampling as a resource-rational constraintAdam N Sanborn, Jianqiao Zhu, Jake Spicer, et al.
Psychological Review|November 3, 2005
Why most people disapprove of me: experience sampling in impression formationJerker Denrell
Psychological Science|July 25, 2022
Perceptual and Cognitive Judgments Show Both Anchoring and RepulsionJake Spicer, Jian-Qiao Zhu, Nick Chater, et al.
Psychological Review|September 19, 2024
How do people predict a random walk? Lessons for models of human cognitionJake Spicer, Jian-Qiao Zhu, Nick Chater, et al.
Psychological Review|January 18, 2007
Adaptive learning and risk takingJerker Denrell
Psychological Review|June 8, 2023
The autocorrelated Bayesian sampler: A rational process for probability judgments, estimates, confidence intervals, choices, confidence judgments, and response timesJian-Qiao Zhu, Joakim Sundh, Jake Spicer, et al.
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