Modeling individual performance in cross-situational word learning

Representational and sampling assumptions drive individual differences in single category generalisation

Bayesian models of cognition revisited: Setting optimality aside and letting data drive psychological theory

Presents a new approach to Bayesian modelling of cognition that removes the interpretation of optimality

When extremists win: On the behavior of iterated learning chains when priors are heterogeneous