By capturing statistical patterns in large corpora, machine learning has enabled significant
advances in natural language processing, including in machine translation, question …

We make the case for develo** a Computational Comparative Neuroprimatology to inform
the analysis of the function and evolution of the human brain. First, we update the mirror …

Part 1 provides Arbib's reflections on the influence of Marc Jeannerod on his career. Part 2
recalls the Mirror System Hypothesis (MSH) for the evolution of the language-ready brain, a …

Languages are powerful solutions to coordination problems: They provide stable, shared
expectations about how the words we say correspond to the beliefs and intentions in our …

Grammaticalization research has led to important insights into the driving processes of
innovation and propagation. Yet what has generally been lacking is a principled way of …

There is a peculiar method in the area of procedural narrative called emergent narrative:
instead of automatically inventing stories or deploying authored narrative content, a system …

This book addresses one of the most pervasive questions in historical linguistics–why
variation becomes stable rather than being eliminated–by revisiting the so far neglected …

Aligning on a shared system of communication requires senders and receivers reach a
balance between simplicity, where there is a pressure for compressed representations, and …

It is well established that context plays a fundamental role in how we learn and use
language. Here we explore how context links short-term language use with the long-term …

This book offers an exciting new perspective on the origins of language. Language is
conceptualized as a collective invention, on the model of writing or the wheel, and the book …