RESEARCH

SPEECH & AUDIO

Emergent Linguistic Phenomena in Multi-Agent Communication Games

November 04, 2019

Abstract

We describe a multi-agent communication framework for examining high-level linguistic phenomena at the community-level. We demonstrate that complex linguistic behavior observed in natural language can be reproduced in this simple setting: i) the outcome of contact between communities is a function of inter- and intra-group connectivity; ii) linguistic contact either converges to the majority protocol, or in balanced cases leads to novel creole languages of lower complexity; and iii) a linguistic continuum emerges where neighboring languages are more mutually intelligible than farther removed languages. We conclude that at least some of the intricate properties of language evolution need not depend on complex evolved linguistic capabilities, but can emerge from simple social exchanges between perceptually-enabled agents playing communication games.

Download the Paper

AUTHORS

Written by

Douwe Kiela

Kyunghyun Cho

Laura Graesser

Publisher

EMNLP

Related Publications

May 14, 2025

RESEARCH

CORE MACHINE LEARNING

UMA: A Family of Universal Models for Atoms

Brandon M. Wood, Misko Dzamba, Xiang Fu, Meng Gao, Muhammed Shuaibi, Luis Barroso-Luque, Kareem Abdelmaqsoud, Vahe Gharakhanyan, John R. Kitchin, Daniel S. Levine, Kyle Michel, Anuroop Sriram, Taco Cohen, Abhishek Das, Ammar Rizvi, Sushree Jagriti Sahoo, Zachary W. Ulissi, C. Lawrence Zitnick

May 14, 2025

May 14, 2025

HUMAN & MACHINE INTELLIGENCE

SPEECH & AUDIO

Emergence of Language in the Developing Brain

Linnea Evanson, Christine Bulteau, Mathilde Chipaux, Georg Dorfmüller, Sarah Ferrand-Sorbets, Emmanuel Raffo, Sarah Rosenberg, Pierre Bourdillon, Jean Remi King

May 14, 2025

May 13, 2025

HUMAN & MACHINE INTELLIGENCE

RESEARCH

Dynadiff: Single-stage Decoding of Images from Continuously Evolving fMRI

Marlène Careil, Yohann Benchetrit, Jean-Rémi King

May 13, 2025

April 25, 2025

RESEARCH

NLP

ReasonIR: Training Retrievers for Reasoning Tasks

Rulin Shao, Qiao Rui, Varsha Kishore, Niklas Muennighoff, Victoria Lin, Daniela Rus, Bryan Kian Hsiang Low, Sewon Min, Scott Yih, Pang Wei Koh, Luke Zettlemoyer

April 25, 2025

Help Us Pioneer The Future of AI

We share our open source frameworks, tools, libraries, and models for everything from research exploration to large-scale production deployment.