| 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 | 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 | Distinguishing Between Process Models of Causal Learning. | Simon Valentin, Lucas Castillo, Adam Sanborn, Chris Lucas |
| 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 |
| 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 |