| 2024 | CogSci | People Need About Five Seconds to be Random: Autocorrelated Sampling Algorithms Can Explain Why. | Lucas Castillo, Pablo Len-Villagr, Johanna Falben, Nick Chater, Adam Sanborn |
| 2024 | CogSci | Randomly Generating Stereotypes: Can We Understand Implicit Attitudes with Random Generation? | Johanna Falben, Lucas Castillo, Pablo Len-Villagr, Nick Chater, Adam Sanborn |
| 2024 | CogSci | Probability, but not utility, influences repeated mental simulations of risky events. | Yun-Xiao Li, Johanna Falben, Lucas Castillo, Jake Spicer, Jian-Qiao Zhu, Nick Chater, Adam Sanborn |
| 2024 | CogSci | Bias in Belief Updating: Combining the Bayesian Sampler with Heuristics. | Yitong Lin, Jian-Qiao Zhu, Adam Sanborn |
| 2024 | CogSci | Mental Sampling in Preferential Choice: Specifying the Sampling Algorithm. | Jake Spicer, Yun-Xiao Li, Lucas Castillo, Johanna Falben, Cheng Stella Qian, Jian-Qiao Zhu, Nick Chater, Adam Sanborn |
| 2024 | CogSci | Capturing Asymmetric Bias in Probability Judgements. | Aidan Tee, Joakim Sundh, Adam Sanborn, Nick Chater |
| 2024 | CogSci | Modelling probability matching as a Bayesian sampling process. | Christian Tsvetkov, Haijiang Yan, Adam Sanborn |
| 2024 | CogSci | Distinguishing Between Process Models of Causal Learning. | Simon Valentin, Lucas Castillo, Adam Sanborn, Chris Lucas |
| 2024 | CogSci | Recovering individual mental representations of facial affect using Variational Auto-Encoder Guided Markov Chain Monte Carlo with People. | Haijiang Yan, Nick Chater, Christian Tsvetkov, Adam Sanborn |
| 2024 | CogSci | Unraveling Overreaction in Expectations: Leveraging Cognitive Sampling Algorithms in Price Prediction Tasks. | Yuqi Zhou, Jian-Qiao Zhu, Jake Spicer, Adam Sanborn |
| 2023 | CogSci | The Impact of Production Rates on Sequential Statistics and Distributional Properties in Random Generation. | Pablo Len-Villagr, Lucas Castillo, Nick Chater, Adam Sanborn |
| 2023 | CogSci | Computation-Limited Bayesian Updating. | Jian-Qiao Zhu, Adam Sanborn, Nick Chater, Tom Griffiths |
| 2022 | CogSci | Eliciting Human Beliefs using Random Generation. | Pablo Len-Villagr, Lucas Castillo, Nick Chater, Adam Sanborn |
| 2021 | CogSci | Local Sampling with Momentum Accounts for Human Random Sequence Generation. | Lucas Castillo, Pablo Len-Villagr, Nicholas Chater, Adam Sanborn |
| 2021 | CogSci | Sampling Associations with (Un)related Suggestions. | Pablo Len-Villagr, Nicholas Chater, Adam Sanborn |
| 2020 | CogSci | How many instances come to mind when making probability estimates? | Joakim Sundh, Jian-Qiao Zhu, Nicholas Chater, Adam Sanborn |
| 2019 | CogSci | Exploring the Representation of Linear Functions. | Pablo Len-Villagr, Verena Klar, Adam Sanborn, Chris Lucas |
| 2019 | CogSci | Using Occam's razor and Bayesian modelling to compare discrete and continuous representations in numerostiy judgements. | Jake Spicer, Adam Sanborn, Ulrik R. Beierholm |
| 2019 | CogSci | Why Decisions Bias Perception: An Amortised Sequential Sampling Account. | Jian-Qiao Zhu, Adam Sanborn, Nick Chater |
| 2019 | CogSci | Bayesian Inference Causes Incoherence in Human Probability Judgments. | Jian-Qiao Zhu, Adam Sanborn, Nicholas Chater |
| 2017 | CogSci | Why Does Higher Working Memory Capacity Help You Learn? | Kevin Lloyd, Adam Sanborn, David S. Leslie, Stephan Lewandowsky |
| 2017 | CogSci | A Rational Approach to Stereotype Change. | Jake Spicer, Adam Sanborn |
| 2017 | CogSci | Temporal variability in moral value judgement. | Alexandra Surdina, Adam Sanborn |
| 2016 | CogSci | Choosing Poorly: Reward-Induced Strategy Shifts in Estimating the Probabilities of Conjunctions and Disjunctions. | James Tripp, Adam Sanborn, Neil Stewart, Takao Noguchi |
| 2015 | CogSci | Inference, Not Dilution in the Dilution Effect. | Adam Sanborn, Takao Noguchi, James Tripp, Neil Stewart |
| 2015 | CogSci | Multiple Strategies in Conjunction and Disjunction Judgments: Most People are Normative Part of the Time. | James Tripp, Adam Sanborn, Neil Stewart, Takao Noguchi |
| 2013 | CogSci | Non-parametric estimation of the individual's utility map. | Takao Noguchi, Adam Sanborn, Neil Stewart |
| 2012 | CogSci | Computational Models of Intuitive Physics. | Peter W. Battaglia, Tomer D. Ullman, Joshua B. Tenenbaum, Adam Sanborn, Kenneth D. Forbus, Tobias Gerstenberg, David A. Lagnado |
| 2012 | CogSci | Look-Ahead Monte Carlo with People. | Charles Blundell, Adam Sanborn, Thomas L. Griffiths |