Search Results - "Sanborn, Adam"

Why Higher Working Memory Capacity May Help You Learn: Sampling, Search, and Degrees of Approximation

Authors: Lloyd, Kevin Sanborn, Adam Leslie, David et al.

Source: Cognitive Science. Dec 2019 43(12).

Peer Reviewed: Y

Page Count: 43

Descriptors: Short Term Memory, Bayesian Statistics, Cognitive Ability, Individual Differences, Inferences, Correlation, Classification, Learning Strategies, Models, Learning Processes

Learning From Missing Feedback: Exemplar Versus Model-Based Methods.

Authors: Denrell, Jerker Sanborn, Adam N. Spicer, Jake

Source: Journal of Experimental Psychology. Learning, Memory & Cognition. Jul2025, Vol. 51 Issue 7, p1048-1080. 33p.

Noise in Cognition: Bug or Feature?

Authors: Sanborn, Adam N. Zhu, Jian-Qiao Spicer, Jake et al.

Source: Perspectives on Psychological Science. May2025, Vol. 20 Issue 3, p572-589. 18p.

Reconciling Intuitive Physics and Newtonian Mechanics for Colliding Objects

Authors: Sanborn, Adam N. Mansinghka, Vikash K. Griffiths, Thomas L.

Source: Psychological Review. Apr 2013 120(2):411-437.

Peer Reviewed: Y

Page Count: 27

Descriptors: Heuristics, Statistical Inference, Mechanics (Physics), Intuition, Guidelines, Decision Making, Sensory Experience, Acoustics, Causal Models, Task Analysis, Bayesian Statistics

Testing the Efficiency of Markov Chain Monte Carlo with People Using Facial Affect Categories

Authors: Martin, Jay B. Griffiths, Thomas L. Sanborn, Adam N.

Source: Cognitive Science. Jan-Feb 2012 36(1):150-162.

Peer Reviewed: Y

Page Count: 13

Descriptors: Markov Processes, Monte Carlo Methods, Correlation, Efficiency, Classification, Psychological Patterns, Nonverbal Communication, Comparative Analysis

Geographic Terms: California

Rational Approximations to Rational Models: Alternative Algorithms for Category Learning

Authors: Sanborn, Adam N. Griffiths, Thomas L. Navarro, Daniel J.

Source: Psychological Review. Oct 2010 117(4):1144-1167.

Peer Reviewed: Y

Page Count: 24

Descriptors: Models, Cognitive Processes, Psychology, Monte Carlo Methods, Computer Science, Bayesian Statistics, Inferences, Classification, Learning, Computation, Mathematics, Sampling

Uncovering Mental Representations with Markov Chain Monte Carlo

Authors: Sanborn, Adam N. Griffiths, Thomas L. Shiffrin, Richard M.

Source: Cognitive Psychology. Mar 2010 60(2):63-106.

Peer Reviewed: Y

Page Count: 44

Descriptors: Markov Processes, Multidimensional Scaling, Cognitive Psychology, Probability, Animals, Classification, Food, Research Methodology, Computation, Monte Carlo Methods, Psychological Studies

Bedtime social media use, sleep, and affective wellbeing in young adults: an experience sampling study.

Authors: Das‐Friebel, Ahuti Lenneis, Anita Realo, Anu et al.

Source: Journal of Child Psychology & Psychiatry. Oct2020, Vol. 61 Issue 10, p1138-1149. 12p.

Combining meta-learned models with process models of cognition.

Authors: Sanborn, Adam N. Yan, Haijiang Tsvetkov, Christian

Source: Behavioral & Brain Sciences. 2024, Vol. 47, p1-58. 58p.

Subjects: Judgment (Psychology), Cognition, Stimulus & response (Psychology), Forecasting

Fast and Accurate Learning When Making Discrete Numerical Estimates.

Authors: Sanborn, Adam N. Beierholm, Ulrik R.

Source: PLoS Computational Biology. 4/12/2016, Vol. 12 Issue 4, p1-28. 28p. 1 Diagram, 5 Graphs.

Perceptual and Cognitive Judgments Show Both Anchoring and Repulsion.

Authors: Spicer, Jake Zhu, Jian-Qiao Chater, Nick et al.

Source: Psychological Science (0956-7976). Sep2022, Vol. 33 Issue 9, p1395-1407. 13p.

Subjects: Decision making, Judgment (Psychology), Cognitive bias, Psychology

Delay preference in intertemporal choice: Sooner or later OR faster or slower?

Authors: Scholten, Marc Sanborn, Adam He, Lisheng et al.

Source: Cognitive Psychology. May2025, Vol. 158, pN.PAG-N.PAG. 1p.

REFRESH: A New Approach to Modeling Dimensional Biases in Perceptual Similarity and Categorization.

Authors: Sanborn, Adam N. Heller, Katherine Austerweil, Joseph L. et al.

Source: Psychological Review. Nov2021, Vol. 128 Issue 6, p1145-1186. 42p.

Subject Terms: *Prior learning, Selectivity (Psychology), Stimulus & response (Psychology), Hierarchical clustering (Cluster analysis)

Better Quality Sleep Promotes Daytime Physical Activity in Patients with Chronic Pain? A Multilevel Analysis of the Within-Person Relationship.

Authors: Tang, Nicole K. Y. Sanborn, Adam N.

Source: PLoS ONE. Mar2014, Vol. 9 Issue 3, p1-9. 9p.

Probabilistic Biases Meet the Bayesian Brain.

Authors: Chater, Nick Zhu, Jian-Qiao Spicer, Jake et al.

Source: Current Directions in Psychological Science. Oct2020, Vol. 29 Issue 5, p506-512. 7p.

Subjects: Cognitive science, Mental arithmetic, Heuristic, Probability theory, Reconciliation

The Bayesian Sampler: Generic Bayesian Inference Causes Incoherence in Human Probability Judgments.

Authors: Zhu, Jian-Qiao Sanborn, Adam N. Chater, Nick

Source: Psychological Review. Oct2020, Vol. 127 Issue 5, p719-748. 30p.

Subject Terms: Probability theory, Samplers, Conditional probability, Forecasting

Repeated risky choices become more consistent with themselves but not expected value, with no effect of matched trial order.

Authors: Spicer, Jake Mullett, Timothy L. Sanborn, Adam N.

Source: Judgment & Decision Making. 2024, Vol. 19, p1-29. 29p.

What does the mind learn? A comparison of human and machine learning representations.

Authors: Spicer, Jake Sanborn, Adam N

Source: Current Opinion in Neurobiology. Apr2019, Vol. 55, p97-102. 6p.

Bayesian Brains without Probabilities.

Authors: Sanborn, Adam N. Chater, Nick

Source: Trends in Cognitive Sciences. Dec2016, Vol. 20 Issue 12, p883-893. 11p.

Subjects: Bayesian analysis, Probability theory, Neurosciences, Nervous system, Neurophysiologic monitoring, Base rate fallacies

Deficits in category learning in older adults: Rule-based versus clustering accounts.

Authors: Badham, Stephen P. Sanborn, Adam N. Maylor, Elizabeth A.

Source: Psychology & Aging. Aug2017, Vol. 32 Issue 5, p473-488. 16p.