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 …

Computational simulations are a popular method for testing hypotheses about the
emergence of symbolic communication. This kind of research is performed in a variety of …

For millennia humans have used visible marks to communicate information. Modern
examples of conventional graphical symbols include written language, and non-linguistic …

The naming game (NG) is a classic model for studying the emergence and evolution of
language within a population. In this article, we extend the traditional NG model to …

Today, computational models of emergent communication in populations of autonomous
agents are studied through two main methodological paradigms: multi-agent reinforcement …

The Naming Game is a classic model for studying the emergence and evolution of language
within a population. In this paper, we extend the traditional Naming Game model to …

This article presents a model of an architecture of an artificial cognitive agent that performs
the function of generating autoepistemic membership statements used to communicate …

This article fulfills the need for quantifiable, physical, common characteristics across different
languages, which is needed to support the theory that humans use domain-general …

Scholarly opinions vary on what language is, how it evolved, and from where or what it
evolved. Long considered uniquely human, today scholars argue for evolutionary continuity …

While existing emergent language systems often lack robust grounding in real-world
perceptual modalities, this study explores how environmental interventions and …