2023

Zhu, Jian-Qiao, Chater, Nick, León-Villagrá, Pablo, Spicer, Jake, Sundh, Joakim and Sanborn, Adam N. (2023) An introduction to psychologically plausible sampling schemes for approximating Bayesian inference. In: Fiedler, Klaus and Juslin, Peter and Denrell, Jerker, (eds.) Sampling in Judgment and Decision Making. Cambridge, United Kingdom: Cambridge University Press, pp. 467-489. ISBN 9781009002042

Sundh, Joakim, Sanborn, Adam N., Zhu, Jian-Qiao, Spicer, Jake, León-Villagrá, Pablo and Chater, Nick (2023) Approximating Bayesian inference through internal sampling. In: Fiedler, Klaus and Juslin, Peter and Denrell, Jerker, (eds.) Sampling in Judgment and Decision Making. Cambridge, United Kingdom: Cambridge University Press, pp. 490-512. ISBN 9781009002042

Tang, Nicole K. Y., Banks, Ptolemy D. W. and Sanborn, Adam N. (2023) Judgement of sleep quality of the previous night changes as the day unfolds : a prospective experience sampling study. Journal of Sleep Research, 32 (3). e13764. doi:10.1111/jsr.13764 ISSN 0962-1105.

Zhu, Jianqiao, Sundh, Joakim, Spicer, Jake, Chater, Nick and Sanborn, Adam N. (2023) The autocorrelated Bayesian sampler : a rational process for probability judgments, estimates, confidence intervals, choices, confidence judgments, and response times. Psychological Review . doi:10.1037/rev0000427 ISSN 0033-295X. (In Press)

Lenneis, Anita, Das-Friebel, Ahuti, Tang, Nicole K. Y., Sanborn, Adam N., Lemola, Sakari, Singmann, Henrik, Wolke, Dieter, von Mühlenen, Adrian and Realo, Anu (2023) The influence of sleep on subjective well-being : an experience sampling study. Emotion . doi:10.1037/emo0001268 ISSN 1528-3542. (In Press)

Sundh, J., Zhu, J -Q., Chater, Nick and Sanborn, Adam N. (2023) A unified explanation of variability and bias in human probability judgments : how computational noise explains the mean-variance signature. Journal of Experimental Psychology: General . doi:10.1037/xge0001414 ISSN 0096-3445. (In Press)

2022

Spicer, Jake, Zhu, Jian-Qiao, Chater, Nick and Sanborn, Adam N. (2022) Perceptual and cognitive judgments show both anchoring and repulsion. Psychological Science, 33 (9). pp. 1395-1407. doi:10.1177/09567976221089599 ISSN 1467-9280.

Zhu , Jian-Qiao , León-Villagrá, Pablo, Chater, Nick and Sanborn, Adam N. (2022) Understanding the structure of cognitive noise. PLoS Computational Biology, 18 (8). e1010312. doi:10.1371/journal.pcbi.1010312 ISSN 1553-7358.

Zhu , Jian-Qiao , Newall, Philip W. S., Sundh, Joakim, Chater, Nick and Sanborn, Adam N. (2022) Clarifying the relationship between coherence and accuracy in probability judgments. Cognition, 223 . 105022. doi:10.1016/j.cognition.2022.105022 ISSN 0010-0277.

Leon-Villagra, Pablo, Castillo, Lucas, Chater, Nick and Sanborn, Adam N. (2022) Eliciting human beliefs using random generation. In: 44th Annual Meeting of the Cognitive Science Society: Cognitive Diversity, CogSci 2022, Toronto, Canada, 27–30 Jul 2022. Published in: Proceedings of the 44th Annual Meeting of the Cognitive Science Society: Cognitive Diversity, CogSci 2022 pp. 2000-2006.

2021

Sanborn, Adam N., Heller, Katherine, Austerweil, Joseph L. and Chater, Nick (2021) REFRESH : a new approach to modeling dimensional biases in perceptual similarity and categorization. Psychological Review, 128 (6). pp. 1145-1186. doi:10.1037/rev0000310 ISSN 0033-295X.

Sanborn, Adam N., Zhu, J -Q., Spicer, Jake, Sundh, Joakim, León-Villagrá, Pablo and Chater, Nick (2021) Sampling as the human approximation to probabilistic inference. In: Muggleton, Stephen and Chater, Nicholas, (eds.) Human-Like Machine Intelligence. Oxford : Oxford University Press. ISBN 9780198862536

Castillo, Lucas, Leon-Villagra, Pablo, Chater, Nick and Sanborn, Adam N. (2021) Local sampling with momentum accounts for human random sequence generation. Proceedings of the Annual Meeting of the Cognitive Science Society, 43 . ISSN 1069-7977.

2020

Spicer, Jake, Sanborn, Adam N. and Beierholm, Ulrik R. (2020) Using Occam’s razor and Bayesian modelling to compare discrete and continuous representations in numerostiy judgements. Cognitive Psychology, 122 . 101309. doi:10.1016/j.cogpsych.2020.101309 ISSN 0010-0285.

Chater, Nick, Zhu, Jian-Qiao, Spicer, Jake, Sundh, Joakim, León-Villagrá, Pablo and Sanborn, Adam N. (2020) Probabilistic biases meet the Bayesian brain. Current Directions in Psychological Science, 29 (5). pp. 506-512. doi:10.1177/0963721420954801 ISSN 0963-7214.

Zhu, Jianqiao, Sanborn, Adam N. and Chater, Nick (2020) The Bayesian sampler : generic Bayesian inference causes incoherence in human probability. Psychological Review, 127 (5). pp. 719-748. doi:10.1037/rev0000190 ISSN 0033-295X.

Das-Friebel, Ahuti, Lenneis, Anita, Realo, Anu, Sanborn, Adam N., Tang, Nicole K. Y., Wolke, Dieter, von Mühlenen, Adrian and Lemola, Sakari (2020) Bedtime social media use, sleep, and affective wellbeing in young adults : an experience sampling study. Journal of Child Psychology and Psychiatry, 61 (10). pp. 1138-1149. doi:10.1111/jcpp.13326 ISSN 0021-9630.

Sanborn, Adam N., Noguchi, Takao, Tripp, James and Stewart, Neil (2020) A dilution effect without dilution : when missing evidence, not non-diagnostic evidence, is judged inaccurately. Cognition, 196 . 104110. doi:10.1016/j.cognition.2019.104110 ISSN 0010-0277.

Sanborn, Adam N., Zhu, Jianqiao, Spicer, Jake and Chater, Nick (2020) Sampling as a resource-rational constraint. Behavioral and Brain Sciences, 43 . e22. doi:10.1017/S0140525X19001584

2019

Lloyd, Kevin, Sanborn, Adam N., Leslie, David and Lewandowsky, Stephan (2019) Why higher working memory capacity may help you learn : sampling, search, and degrees of approximation. Cognitive Science, 43 (12). e12805. doi:10.1111/cogs.12805 ISSN 0364-0213.

Spicer, Jake and Sanborn, Adam N. (2019) What does the mind learn? A comparison of human and machine learning representations. Current Opinion in Neurobiology, 55 . pp. 97-102. doi:10.1016/j.conb.2019.02.004 ISSN 0959-4388.

Hsu, Anne S., Martin, Jay B., Sanborn, Adam N. and Griffiths, Thomas L. (2019) Identifying category representations for complex stimuli using discrete Markov chain Monte Carlo with people. Behavior Research Methods . pp. 1-11. doi:10.3758/s13428-019-01201-9 ISSN 1554-351X.

2018

Zhu , Jian-Qiao , Sanborn, Adam N. and Chater , Nick (2018) Mental sampling in multimodal representations. Advances in Neural Information Processing Systems (NIPS 2016) . 5753-5764 . ISSN 1049-5258.

2017

Zhu, Jianqiao, Sanborn, Adam N. and Chater, Nick (2017) Mental sampling in multimodal representations. Working Paper. Coventry: University of Warwick. (Unpublished)

Badham, Stephen P., Sanborn, Adam N. and Maylor, Elizabeth A. (2017) Deficits in category learning in older adults : rule-based versus clustering accounts. Psychology and Aging, 32 (5). pp. 473-488. doi:10.1037/pag0000183 ISSN 0882-7974.

Ramlee, Fatanah, Sanborn, Adam N. and Tang, Nicole K. Y. (2017) What sways people's judgment of sleep quality? A quantitative choice-making study with good and poor sleepers. Sleep, 40 (7). zsx091. doi:10.1093/sleep/zsx091 ISSN 0161-8105.

Sanborn, Adam N. and Chater, Nick (2017) The sampling brain. Trends in Cognitive Sciences, 21 (7). pp. 492-493. doi:10.1016/j.tics.2017.04.009 ISSN 1364-6613.

Sanborn, Adam N., Tripp, James, Noguchi, Takao and Stewart, Neil (2017) Data for Combination Rules in Information Integration. [Dataset]

Surdina, Alexandra and Sanborn, Adam N. (2017) Temporal variability in moral value judgement. In: CogSci 2017 : 39th Annual Meeting of the Cognitive Science Society, London, UK, 26–29 Jul 2017. Published in: CogSci 2017 Proceedings of the 39th Annual Meeting of the Cognitive Science Society London, UK, 26-29 July 2017 pp. 3285-3290. ISBN 9780991196760 .

Lloyd, Kevin, Sanborn, Adam N., Leslie, David and Lewandowsky, Stephan (2017) Why does higher working memory capacity help you learn? In: CogSci 2017, London, 26-29 Jul 2017. Published in: CogSci 2017 Proceedings of the 39th Annual Meeting of the Cognitive Science Society London, UK, 26-29 July 2017 pp. 767-772. ISBN 9780991196760 .

Spicer, Jake and Sanborn, Adam N. (2017) A rational approach to stereotype change. In: CogSci 2017 : 39th Annual Meeting of the Cognitive Science Society, London, UK, 26–29 Jul 2017. Published in: CogSci 2017 Proceedings of the 39th Annual Meeting of the Cognitive Science Society London, UK, 26-29 July 2017 pp. 1102-1103. ISBN 9780991196760.

Sanborn, Adam N. (2017) Types of approximation for probabilistic cognition : sampling and variational. Brain and cognition, 112 . pp. 98-101. doi:10.1016/j.bandc.2015.06.008 ISSN 0278-2626.

2016

Sanborn, Adam N. and Chater, Nick (2016) Bayesian brains without probabilities. Trends in Cognitive Sciences, 20 (12). pp. 883-893. doi:10.1016/j.tics.2016.10.003 ISSN 1364-6613.

Scholten, Marc, Read, Daniel and Sanborn, Adam N. (2016) Cumulative weighing of time in intertemporal tradeoffs. Journal of Experimental Psychology: General, 145 (9). pp. 1177-1205. doi:10.1037/xge0000198 ISSN 0096-3445.

Sanborn, Adam N. and Beierholm, Ulrik R. (2016) Fast and accurate learning when making discrete numerical estimates. PLoS Computational Biology, 12 (4). e1004859. doi:10.1371/journal.pcbi.1004859 ISSN 1553-7358.

2015

Sanborn, Adam N. (2015) Bayesian models of cognition. In: Jaeger, Dieter and Jung, Ranu, (eds.) Encyclopedia of Computational Neuroscience. Springer, pp. 624-625. ISBN 9781461466758

Sanborn, Adam N. and Griffiths, Thomas L. (2015) Exploring the structure of mental representations by implementing computer algorithms with people. In: Raaijmakers, J. G. W. and Criss, A. H. and Goldstone, R. L. and Nosofsky, R. M. and Steyvers, M., (eds.) Cognitive Modeling in Perception and Memory: A Festschrift for Richard M. Shiffrin. New York: Psychology Press ; Taylor & Francis Group, pp. 212-228.

Tripp, James, Sanborn, Adam N., Stewart, Neil and Noguchi, Takao (2015) Multiple strategies in conjunction and disjunction judgments : most people are normative part of the time. In: CogSci 2015 : 37th annual conference of the Cognitive Science Society, Pasadena, California, 22-25 Jul 2015. Published in: Proceedings of the 37th Annual Meeting of the Cognitive Science Society. Austin, TX ISBN 9780991196722.

2014

Sanborn, Adam N. (2014) Testing Bayesian and heuristic predictions of mass judgments of colliding objects. Frontiers in Psychology, Volume 5 . Article number 938. doi:10.3389/fpsyg.2014.00938 ISSN 1664-1078.

Scholten, Marc, Read, Daniel and Sanborn, Adam N. (2014) Weighing outcomes by time or against time? Evaluation rules in intertemporal choice. Cognitive Science, 38 (3). pp. 399-438. doi:10.1111/cogs.12104 ISSN 0364-0213.

Sanborn, Adam N. and Hills, Thomas Trenholm (2014) The frequentist implications of optional stopping on Bayesian hypothesis tests. Psychonomic Bulletin & Review , Volume 21 (Number 2). pp. 283-300. doi:10.3758/s13423-013-0518-9 ISSN 1069-9384.

Tang, Nicole K. Y. and Sanborn, Adam N. (2014) Better quality sleep promotes daytime physical activity in patients with chronic pain? : A multilevel analysis of the within-person relationship. PLoS One, Volume 9 (Number 3). pp. 1-9. Article number e92158. doi:10.1371/journal.pone.0092158 ISSN 1932-6203.

Sanborn, Adam N., Hills, Thomas Trenholm, Dougherty, Michael R., Thomas, Rick P., Yu, Erica C. and Sprenger, Amber M. (2014) Reply to Rouder (2014) : good frequentist properties raise confidence. Psychonomic Bulletin & Review , Volume 21 (Number 2). pp. 309-311. doi:10.3758/s13423-014-0607-4

2013

Sanborn, Adam N., Mansinghka, Vikash K. and Griffiths, Thomas L. (2013) Reconciling intuitive physics and Newtonian mechanics for colliding objects. Psychological Review, 120 (2). pp. 411-437. doi:10.1037/a0031912 ISSN 0033-295X.

Sanborn, Adam N. and Silva, Ricardo (2013) Constraining bridges between levels of analysis : a computational justification for locally Bayesian learning. Journal of Mathematical Psychology, Volume 57 (Number 3-4). pp. 94-106. doi:10.1016/j.jmp.2013.05.002 ISSN 0022-2496.

Noguchi, Takao, Sanborn, Adam N. and Stewart, Neil (2013) Non-parametric estimation of the individual's utility map. In: COGSCI 2013 : Thirty-fifth annual conference of the Cognitive Science Society, Berlin, Germany, 31 Jul - 3 Aug 2013. Published in: Proceedings of the Thirty-Fifth Annual Conference of the Cognitive Science Society pp. 3145-3150. ISBN 9780976831891.

2012

Griffiths, T. L., Vul, E. and Sanborn, Adam N. (2012) Bridging levels of analysis for probabilistic models of cognition. Current Directions in Psychological Science, Volume 21 (Number 4). pp. 263-268. doi:10.1177/0963721412447619 ISSN 0963-7214.

Tang, Nicole K. Y., Goodchild, Claire E., Sanborn, Adam N., Howard, Jonathan and Salkovskis, Paul M. (2012) Deciphering the temporal link between pain and sleep in a heterogeneous chronic pain patient sample : a multilevel daily process study. Sleep, Vol.35 (No.5). pp. 675-687. doi:10.5665/sleep.1830 ISSN 0161-8105.

Martin, J. B., Griffiths, Thomas L. and Sanborn, Adam N. (2012) Testing the efficiency of Markov Chain Monte Carlo with people using facial affect categories. Cognitive Science, 36 (11). pp. 150-162. doi:10.1111/j.1551-6709.2011.01204.x ISSN 0364-0213.

2011

Griffiths, Thomas L., Sanborn, Adam N., Canini, Kevin R., Navarro, Daniel J. and Tenenbaum, Joshua B. (2011) Nonparametric Bayesian models of categorization. In: Pothos, Emmanuel M. and Wills, Andy J. , (eds.) Formal Approaches in Categorization. Cambridge: Cambridge University Press, pp. 173-198. ISBN 9780521190480

Sanborn, Adam N. and Dayan, P. (2011) Optimal decisions for contrast discrimination. Journal of Vision, Vol.11 (No.14). Article no. 9. doi:10.1167/11.14.9 ISSN 1534-7362.

2010

Shi, Lei, Griffiths, Thomas L., Feldman, Naomi H. and Sanborn, Adam N. (2010) Exemplar models as a mechanism for performing Bayesian inference. Psychonomic bulletin & review, Vol.17 (No.4). pp. 443-64. doi:10.3758/PBR.17.4.443 ISSN 1531-5320.

Sanborn, Adam N., Griffiths, Thomas L. and Navarro, Daniel J (2010) Rational approximations to rational models : alternative algorithms for category learning. Psychological Review, Vol.117 (No.4). pp. 1144-67. doi:10.1037/a0020511 ISSN 1939-1471.

Sanborn, Adam N., Griffiths, Thomas L. and Shiffrin, Richard M. (2010) Uncovering mental representations with Markov chain Monte Carlo. Cognitive Psychology, Vol.60 (No.2). pp. 63-106. doi:10.1016/j.cogpsych.2009.07.001 ISSN 0010-0285.

2009

Sanborn, Adam N., Mansinghka, Vikash and Griffiths , Thomas L. (2009) A Bayesian framework for modeling intuitive dynamics. In: CogSci 2009: 31st Annual Meeting of the Cognitive Science Society, Amsterdam, Netherlands, 29 Jul - 1 Aug 2009

Sanborn, Adam N. and Silva, Ricardo (2009) Belief propagation and locally Bayesian learning. In: CogSci 2009: 31st Annual Meeting of the Cognitive Science Society, Amsterdam, Netherlands, 29 Jul - 1 Aug 2009. Published in: Proceedings of the 31st Annual Conference of the Cognitive Science Society

Heller, Katherine, Sanborn, Adam N. and Chater, Nick (2009) Hierarchical learning of dimensional biases in human categorization. In: Lafferty , J. Clayton (James Clayton), 1928- and Williams , C., (eds.) Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009, December 7-10, 2009, Vancouver, B.C., Canada. La Jolla, C.A.: Neural Information Processing Systems. ISBN 9781615679119

Griffiths, Thomas L., Canini, Kevin R., Sanborn, Adam N. and Navarro, Daniel J. (2009) Unifying rational models of categorization via the hierarchical Dirichlet process. In: Proceedings of the 29th Annual Conference of the Cognitive Science Society. Mahwah, N.J.: Lawrence Erlbaum, p. 323. ISBN 9781605605074

Martin, Jason, Griffiths , Thomas L. and Sanborn, Adam N. (2009) A walk through face space : affect classification using Markov chain Monte Carlo. In: CogSci 2009: 31st Annual Meeting of the Cognitive Science Society, Amsterdam, Netherlands, 29 Jul - 1 Aug 2009

2008

Griffiths, Thomas L., Sanborn, Adam N., Canini, Kevin R. and Navarro, Daniel J. (2008) Categorization as nonparametric Bayesian density estimation. In: Chater, Nick and Oaksford, Mike, (eds.) The probabilistic mind : prospects for Bayesian cognitive science. Oxford : Oxford University Press, pp. 303-328. ISBN 9780199216093

Sanborn, Adam N. and Griffiths, Thomas L. (2008) Markov chain Monte Carlo with people. In: Platt, John C., (ed.) Advances in Neural Information Processing Systems 20: 21st Annual Conference on Neural Information Processing Systems 2007. Red Hook, N.Y.: Curran Associates Inc, pp. 1265-1272. ISBN 9781605603520

Cohen, Andrew L., Sanborn, Adam N. and Shiffrin, Richard M. (2008) Model evaluation using grouped or individual data. Psychonomic Bulletin & Review, Vol.15 (No.4). pp. 692-712. doi:10.3758/PBR.15.4.692 ISSN 1069-9384.

2006

Sanborn, Adam N., Griffiths, Thomas L. and Navarro, Daniel J. (2006) A more rational model of categorization. In: Proceedings of the 28th annual conference of the Cognitive Science Society. Mahwah, N.J.: Lawrence Erlbaum, pp. 726-731. ISBN 9780976831822

2004

Sanborn, Adam N., Malmberg, Kenneth J. and Shiffrin, Richard M. (2004) High-level effects of masking on perceptual identification. Vision Research, Vol.44 (No.12). pp. 1427-1436. doi:10.1016/j.visres.2004.01.004 ISSN 00426989.

2003

Morrow, Daniel G., Ridolfo, Heather E., Menard, William E., Sanborn, Adam N., Stine-Morrow, Elizabeth A. L., Magnor, Cliff, Herman, Larry, Teller, Thomas and Bryant, David (2003) Environmental support promotes expertise-based mitigation of age differences on pilot communication tasks. Psychology and Aging, Vol.18 (No.2). pp. 268-284. doi:10.1037/0882-7974.18.2.268 ISSN 0882-7974.