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

Información del proyecto

SAMPLING

Identificador del acuerdo de subvención: 817492

DOI

10.3030/817492

Proyecto cerrado

Fecha de la firma de la CE 25 Enero 2019

Fecha de inicio 1 Abril 2019

Fecha de finalización 30 Septiembre 2024

Financiado con arreglo a

• EXCELLENT SCIENCE - European Research Council (ERC)

Coste total

€ 1 928 168,75

Aportación de la UE

€ 1 928 168,75

Coordinado por

UNIVERSITY OF WARWICK
United Kingdom

CORDIS proporciona enlaces a los documentos públicos y las publicaciones de los proyectos de los programas marco HORIZONTE.

Los enlaces a los documentos y las publicaciones de los proyectos del Séptimo Programa Marco, así como los enlaces a algunos tipos de resultados específicos, como conjuntos de datos y «software», se obtienen dinámicamente de OpenAIRE .

Publicaciones

Peer reviewed articles (13)

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

Autores: Jian-Qiao Zhu, Joakim Sundh, Jake Spicer, Nick Chater, Adam N. Sanborn
Publicado en: Psychological Review, 2023, ISSN 0033-295X
Editor: American Psychological Association
DOI: 10.1037/rev0000427

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

Autores: Lucas Castillo, Pablo Leon-Villagra, Nick Chater, Adam N Sanborn
Publicado en: PLoS Computational Biology, 2023, ISSN 1553-734X
Editor: Public Library of Science
DOI: 10.31234/osf.io/np6hd

Perceptual and Cognitive Judgments Show Both Anchoring and Repulsion

Autores: Jake Spicer; Jian-Qiao Zhu; Nick Chater; Adam N. Sanborn
Publicado en: Psychological Science, Edición 4, 2022, ISSN 1467-9280
Editor: Sage Publications Ltd.
DOI: 10.1177/09567976221089599

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

Autores: Adam N. Sanborn, Katherine Heller, Joseph L. Austerweil, Nick Chater
Publicado en: Psychological Review, 2021, ISSN 0033-295X
Editor: American Psychological Association
DOI: 10.1037/rev0000310

Confirmation bias emerges from an approximation to Bayesian reasoning

Autores: Charlie Pilgrim, Adam Sanborn, Eugene Malthouse, Thomas T. Hills
Publicado en: Cognition, Edición 245, 2024, Página(s) 105693, ISSN 0010-0277
Editor: 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

Autores: Sundh, J., Zhu, J-Q., Chater, Nick and Sanborn, Adam N.
Publicado en: Journal of Experimental Psychology: General, 2023, ISSN 0096-3445
Editor: American Psychological Association
DOI: 10.1037/xge0001414

Understanding the Structure of Cognitive Noise

Autores: Jian-Qiao Zhu; Pablo León-Villagrá; Nick Chater; Adam N. Sanborn
Publicado en: PLoS Computational Biology, Edición 1, 2022, ISSN 1553-7358
Editor: Public Library of Science
DOI: 10.31234/osf.io/qfyzw

Probabilistic Biases Meet the Bayesian Brain

Autores: Nick Chater, Jian-Qiao Zhu, Jake Spicer, Joakim Sundh, Pablo León-Villagrá, Adam Sanborn
Publicado en: Current Directions in Psychological Science, Edición 29/5, 2020, Página(s) 506-512, ISSN 0963-7214
Editor: SAGE Publications
DOI: 10.1177/0963721420954801

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

Autores: Adam N. Sanborn, Takao Noguchi, James Tripp, Neil Stewart
Publicado en: Cognition, Edición 196, 2020, Página(s) 104110, ISSN 0010-0277
Editor: Elsevier BV
DOI: 10.1016/j.cognition.2019.104110

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

Autores: Jian-Qiao Zhu, Adam N. Sanborn, Nick Chater
Publicado en: Psychological Review, 2020, ISSN 0033-295X
Editor: American Psychological Association
DOI: 10.1037/rev0000190

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

Autores: Jake Spicer, Jian-Qiao Zhu, Nick Chater, Adam N. Sanborn
Publicado en: Psychological Review, Edición 131, 2024, Página(s) 1069-1113, ISSN 0033-295X
Editor: American Psychological Association
DOI: 10.1037/rev0000493

Clarifying the relationship between coherence and accuracy in probability judgments

Autores: Zhu, Jian-Qiao, Newall, Philip W. S., Sundh, Joakim, Chater, Nick, Sanborn, Adam N.
Publicado en: Cognition, Edición 223, 2022, Página(s) 105022, ISSN 0010-0277
Editor: 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

Autores: Jake Spicer, Timothy L. Mullett, Adam N. Sanborn
Publicado en: Judgment and Decision Making, Edición 19, 2024, ISSN 1930-2975
Editor: Society for Judgment and Decision Making
DOI: 10.1017/jdm.2023.41

Conference proceedings (2)

Local Sampling with Momentum Accounts for Human Random Sequence Generation

Autores: Lucas Castillo, Pablo León-Villagrá, Nick Chater, and Adam Sanborn
Publicado en: Proceedings of the 43rd Annual Conference of the Cognitive Science Society, 2021
Editor: Cognitive Science Society

Eliciting human beliefs using random generation

Autores: Leon-Villagra, Pablo, Castillo, Lucas, Chater, Nick and Sanborn, Adam N.
Publicado en: Proceedings of the 44th Annual Meeting of the Cognitive Science Society: Cognitive Diversity, 2022, Página(s) 2000-2006
Editor: Cognitive Science Society

Book chapters (3)

Approximating Bayesian inference through internal sampling

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

Sampling as the human approximation to probabilistic inference

Autores: Adam Sanborn, Jian-Qiao Zhu, Jake Spicer, Joakim Sundh, Pablo León-Villagrá, Nick Chater
Publicado en: Human-Like Machine Intelligence, 2021, ISBN 9780198862536
Editor: Oxford University Press

An introduction to psychologically plausible sampling schemes for approximating Bayesian inference

Autores: Zhu, J.-Q., Chater, N., Leon-Villagra, P., Spicer, J., Sundh, J., Sanborn, A. N.
Publicado en: Sampling in Judgment and Decision Making, 2023, Página(s) 467-489
Editor: Cambridge University Press
DOI: 10.1017/9781009002042.026