Andrew Perfors
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representation
Representational and sampling assumptions drive individual differences in single category generalisation
On simplicity and emergence
Structure at every scale: A semantic network account of the similarities between very unrelated concepts
Representations, approximations, and limitations within a computational framework for cognitive science: Commentary on article by Tecumseh Fitch
Anticipating changes: Adaptation and extrapolation in category learning
How recursive is language? A Bayesian exploration
Probabilistic models of cognition: Exploring representations and inductive biases
Learnability, representation, and language: A Bayesian approach
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