Andrew Perfors
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individualdifferences
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
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