Emergent communication, or emergent language, is the field of research which studies how
human language-like communication systems emerge de novo in deep multi-agent …

Deep generative models (DGM) are increasingly employed in emergent communication
systems. However, their application in multimodal data contexts is limited. This study …

The field of emergent language represents a novel area of research within the domain of
artificial intelligence, particularly within the context of multi-agent reinforcement learning …

As a sub-discipline of evolutionary and computational linguistics, emergent communication
(EC) studies communication protocols, called emergent languages, arising in simulations …

Computational modeling plays an essential role in the study of language emergence. It aims
to simulate the conditions and learning processes that could trigger the emergence of a …

Natural language has the universal properties of being compositional and grounded in
reality. The emergence of linguistic properties is often investigated through simulations of …

Artificial learners often behave differently from human learners in the context of neural agent-
based simulations of language emergence and change. A common explanation is the lack …

Research on emergent communication between deep-learning-based agents has received
extensive attention due to its inspiration for linguistics and artificial intelligence. However …

Neural networks drive the success of natural language processing. A fundamental property
of language is its compositional structure, allowing humans to produce forms for new …

Despite evidence from sociolinguistics that larger groups of speakers tend to develop more
structured languages, the use of populations has failed to yield significant benefits in …