modeling

Modeling individual performance in cross-situational word learning

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

Empiricism and language learnability

This book explores one of the central problems in theoretical linguistics: learnability. The chapters, written from different perspectives—linguistics, philosophy, computer science, psychology, and cognitive science—explore the idea that language …

Simulated evolution of communication: The emergence of meaning