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

CORDIS provides links to public deliverables and publications of HORIZON projects.

Links to deliverables and publications from FP7 projects, as well as links to some specific result types such as dataset and software, are dynamically retrieved from OpenAIRE .

Publications

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

Explaining the Flaws in Human Random Generation as Local Sampling with Momentum

Author(s): Lucas Castillo, Pablo Leon-Villagra, Nick Chater, Adam N Sanborn
Published in: PLoS Computational Biology, 2023, ISSN 1553-734X
Publisher: Public Library of Science
DOI: 10.31234/osf.io/np6hd

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

Confirmation bias emerges from an approximation to Bayesian reasoning

Author(s): Charlie Pilgrim, Adam Sanborn, Eugene Malthouse, Thomas T. Hills
Published in: Cognition, Issue 245, 2024, Page(s) 105693, ISSN 0010-0277
Publisher: Elsevier BV
DOI: 10.1016/j.cognition.2023.105693

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

How do people predict a random walk? Lessons for models of human cognition.

Author(s): Jake Spicer, Jian-Qiao Zhu, Nick Chater, Adam N. Sanborn
Published in: Psychological Review, Issue 131, 2024, Page(s) 1069-1113, ISSN 0033-295X
Publisher: American Psychological Association
DOI: 10.1037/rev0000493

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

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

Author(s): Jake Spicer, Timothy L. Mullett, Adam N. Sanborn
Published in: Judgment and Decision Making, Issue 19, 2024, ISSN 1930-2975
Publisher: Society for Judgment and Decision Making
DOI: 10.1017/jdm.2023.41

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

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

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