“…We model human pattern description using a Bayesian inference over functions with a GP prior, an approach that has been successfully applied to a range of experimental and observational data (Griffiths, Lucas, Williams, & Kalish, 2009;Lucas, Griffiths, Williams, & Kalish, 2015;Schulz et al, 2019;Wu, Schulz, Speekenbrink, Nelson, & Meder, 2018). Given an observed pattern D = {x n , y n } N n=1 , where y n ∼ N (f (x n ), σ 2 ) is a draw from the latent function, the posterior predictive distribution for a new input x * is also normally distributed, where…”