RESEARCH

NLP

Miss Tools and Mr Fruit: Emergent communication in agents learning about object affordances

July 28, 2019

Abstract

Recent research studies communication emergence in communities of deep network agents assigned a joint task, hoping to gain insights on human language evolution. We propose here a new task capturing crucial aspects of the human environment, such as natural object affordances, and of human conversation, such as full symmetry among the participants. By conducting a thorough pragmatic and semantic analysis of the emergent protocol, we show that the agents solve the shared task through genuine bilateral, referential communication. However, the agents develop multiple idiolects, which makes us conclude that full symmetry is not a sufficient condition for a common language to emerge.

Download the Paper

Related Publications

December 15, 2021

RESEARCH

Sample-and-threshold differential privacy: Histograms and applications

Akash Bharadwaj, Graham Cormode

December 15, 2021

December 06, 2021

NLP

Pay Better Attention to Attention: Head Selection in Multilingual and Multi-Domain Sequence Modeling

Hongyu Gong, Yun Tang, Juan Miguel Pino, Xian Li

December 06, 2021

November 16, 2021

NLP

Can Transformers Jump Around Right in Natural Language? Assessing Performance Transfer from SCAN

Rahma Chaabouni, Roberto Dessì, Evgeny Kharitonov

November 16, 2021

November 08, 2021

NLP

CORE MACHINE LEARNING

DOBF: A Deobfuscation Pre-Training Objective for Programming Languages

Baptiste Rozière, Marie-Anne Lachaux, Marc Szafraniec, Guillaume Lample

November 08, 2021