This chapter reviews the arguments that have been raised against the unit‐based account
and presents some of the wide range of approaches that have been taken to modelling …

ABSTRACT Last year, 2022, marked the 50th anniversary of the Rescorla-Wagner learning
equations–a landmark in the development of learning theory. Originally based on animal …

Sequence learning is fundamental to a wide range of cognitive functions. Explaining how
sequences—and the relations between the elements they comprise—are learned is a …

In the 1990s, language acquisition researchers and theoretical linguists developed an
interest in learning mechanisms, and learning theorists rediscovered the verbal learning …

Building socially-intelligent AI agents (Social-AI) is a multidisciplinary, multimodal research
goal that involves creating agents that can sense, perceive, reason about, learn from, and …

A word often expresses many different morphological functions. Which part of a word
contributes to which part of the overall meaning is not always clear, which raises the …

Sequence learning is fundamental to a wide range of cognitive functions, and explaining
how sequences---and the relations between the elements they comprise---are learned is a …

Learning processes in Earth's animal species have been studied in depth for more than a
century, from which have emerged mathematical, theoretical and computational error-driven …

Phonological forms often express many different morphological functions. Learning these
functions is quite challenging. How do learners accomplish this? Linguistic studies often …