Searching for the Approximation Method used to Perform rationaL inference by INdividuals and Groups

Project Information

SAMPLING

Grant agreement ID: 817492

DOI 10.3030/817492

EC signature date 25 January 2019

Start date 1 April 2019

End date 30 September 2024

Funded under

• EXCELLENT SCIENCE - European Research Council (ERC)

Total cost € 1 928 168,75

EU contribution € 1 928 168,75

Coordinated by

UNIVERSITY OF WARWICK
United Kingdom

Publications

Peer reviewed articles (9)

The Autocorrelated Bayesian Sampler: A Rational Process for Probability Judgments, Estimates, Confidence Intervals, Choices, Confidence Judgments, and Response Times

Author(s): Jian-Qiao Zhu, Joakim Sundh, Jake Spicer, Nick Chater, Adam N. Sanborn
Published in: Psychological Review, 2023, ISSN 0033-295X
Publisher: American Psychological Association
DOI: 10.1037/rev0000427

Perceptual and Cognitive Judgments Show Both Anchoring and Repulsion

Author(s): Jake Spicer; Jian-Qiao Zhu; Nick Chater; Adam N. Sanborn
Published in: Psychological Science, Issue 4, 2022, ISSN 1467-9280
Publisher: Sage Publications Ltd.
DOI: 10.1177/09567976221089599

REFRESH: A new approach to modeling dimensional biases in perceptual similarity and categorization.

Author(s): Adam N. Sanborn, Katherine Heller, Joseph L. Austerweil, Nick Chater
Published in: Psychological Review, 2021, ISSN 0033-295X
Publisher: American Psychological Association
DOI: 10.1037/rev0000310

A unified explanation of variability and bias in human probability judgments: how computational noise explains the mean-variance signature

Author(s): Sundh, J., Zhu, J-Q., Chater, Nick and Sanborn, Adam N.
Published in: Journal of Experimental Psychology: General, 2023, ISSN 0096-3445
Publisher: American Psychological Association
DOI: 10.1037/xge0001414

Understanding the Structure of Cognitive Noise

Author(s): Jian-Qiao Zhu; Pablo León-Villagrá; Nick Chater; Adam N. Sanborn
Published in: PLoS Computational Biology, Issue 1, 2022, ISSN 1553-7358
Publisher: Public Library of Science
DOI: 10.31234/osf.io/qfyzw

Probabilistic Biases Meet the Bayesian Brain

Author(s): Nick Chater, Jian-Qiao Zhu, Jake Spicer, Joakim Sundh, Pablo León-Villagrá, Adam Sanborn
Published in: Current Directions in Psychological Science, Issue 29/5, 2020, Page(s) 506-512, ISSN 0963-7214
Publisher: SAGE Publications
DOI: 10.1177/0963721420954801

A dilution effect without dilution: When missing evidence, not non-diagnostic evidence, is judged inaccurately

Author(s): Adam N. Sanborn, Takao Noguchi, James Tripp, Neil Stewart
Published in: Cognition, Issue 196, 2020, Page(s) 104110, ISSN 0010-0277
Publisher: Elsevier BV
DOI: 10.1016/j.cognition.2019.104110

The Bayesian sampler: Generic Bayesian inference causes incoherence in human probability judgments.

Author(s): Jian-Qiao Zhu, Adam N. Sanborn, Nick Chater
Published in: Psychological Review, 2020, ISSN 0033-295X
Publisher: American Psychological Association
DOI: 10.1037/rev0000190

Clarifying the relationship between coherence and accuracy in probability judgments

Author(s): Zhu, Jian-Qiao, Newall, Philip W. S., Sundh, Joakim, Chater, Nick, Sanborn, Adam N.
Published in: Cognition, Issue 223, 2022, Page(s) 105022, ISSN 0010-0277
Publisher: Elsevier BV
DOI: 10.1016/j.cognition.2022.105022

Conference proceedings (2)

Local Sampling with Momentum Accounts for Human Random Sequence Generation

Author(s): Lucas Castillo, Pablo León-Villagrá, Nick Chater, and Adam Sanborn
Published in: Proceedings of the 43rd Annual Conference of the Cognitive Science Society, 2021
Publisher: Cognitive Science Society

Eliciting human beliefs using random generation

Author(s): Leon-Villagra, Pablo, Castillo, Lucas, Chater, Nick and Sanborn, Adam N.
Published in: Proceedings of the 44th Annual Meeting of the Cognitive Science Society: Cognitive Diversity, 2022, Page(s) 2000-2006
Publisher: Cognitive Science Society

Book chapters (3)

Approximating Bayesian inference through internal sampling

Author(s): Sundh, Joakim, Sanborn, Adam N., Zhu, Jian-Qiao, Spicer, Jake, León-Villagrá, Pablo, Chater, Nick
Published in: Sampling in Judgment and Decision Making, 2023, Page(s) 490-512
Publisher: Cambridge University Press
DOI: 10.1017/9781009002042.027

Sampling as the human approximation to probabilistic inference

Author(s): Adam Sanborn, Jian-Qiao Zhu, Jake Spicer, Joakim Sundh, Pablo León-Villagrá, Nick Chater
Published in: Human-Like Machine Intelligence, 2021, ISBN 9780198862536
Publisher: Oxford University Press

An introduction to psychologically plausible sampling schemes for approximating Bayesian inference

Author(s): Zhu, J.-Q., Chater, N., Leon-Villagra, P., Spicer, J., Sundh, J., Sanborn, A. N.
Published in: Sampling in Judgment and Decision Making, 2023, Page(s) 467-489
Publisher: Cambridge University Press
DOI: 10.1017/9781009002042.026