We present an introduction to Bayesian inference as it is used in probabilistic models of
cognitive development. Our goal is to provide an intuitive and accessible guide to the what …

Much of learning and reasoning occurs in pedagogical situations—situations in which a
person who knows a concept chooses examples for the purpose of hel** a learner …

This review investigates empirical evidence for different theoretical proposals regarding the
retreat from overgeneralization errors in three domains: word learning (eg,* doggie to refer …

We present a hierarchical Bayesian framework for modeling the acquisition of verb
argument constructions. It embodies a domain-general approach to learning higher-level …

A book that uses domain-general learning theory to explain recurrent trajectories of
language change. In this book, Vsevolod Kapatsinski argues that language acquisition …

How do children eventually come to avoid the production of overgeneralisation errors, in
particular, those involving the dative (eg,* I said her “no”)? The present study addressed this …

This interdisciplinary new work explores one of the central theoretical problems in
linguistics: learnability. The authors, from different backgrounds—-linguistics, philosophy …

There is much debate over the degree to which language learning is governed by innate
language-specific biases, or acquired through cognition-general principles. Here we …

Abstract Language is not only used to transmit neutral information; we often seek to
persuade by arguing in favor of a particular view. Persuasion raises a number of challenges …

Theories of language and cognition develop iteratively from ideas, experiments and models.
The abstract nature of “cognitive processes” means that computational models play a critical …