On the role of population heterogeneity in emergent communication - Inria - Institut national de recherche en sciences et technologies du numérique Access content directly
Conference Papers Year :

On the role of population heterogeneity in emergent communication


Populations have often been perceived as a structuring component for language to emerge and evolve: the larger the population, the more structured the language. While this observation is widespread in the sociolinguistic literature, it has not been consistently reproduced in computer simulations with neural agents. In this paper, we thus aim to clarify this apparent contradiction. We explore emergent language properties by varying agent population size in the speaker-listener Lewis Game. After reproducing the experimental difference, we challenge the simulation assumption that the agent community is homogeneous. We then investigate how speaker-listener asymmetry alters language structure through the analysis a potential diversity factor: learning speed. From then, we leverage this observation to control population heterogeneity without introducing confounding factors. We finally show that introducing such training speed heterogeneities naturally sort out the initial contradiction: larger simulated communities start developing more stable and structured languages.
Fichier principal
Vignette du fichier
2204.12982.pdf (681.81 Ko) Télécharger le fichier
Origin : Files produced by the author(s)

Dates and versions

hal-03830500 , version 1 (26-10-2022)


  • HAL Id : hal-03830500 , version 1


Mathieu Rita, Florian Strub, Jean-Bastien Grill, Olivier Pietquin, Emmanuel Dupoux. On the role of population heterogeneity in emergent communication. ICLP 2022 - Tenth International Conference on Learning Representations, Apr 2022, Los Angeles, United States. ⟨hal-03830500⟩
45 View
16 Download


Gmail Facebook Twitter LinkedIn More