On the evolutionary language game in structured and adaptive populations.

ABSTRACT: We propose an evolutionary model for the emergence of shared linguistic convention in a population of agents whose social structure is modelled by complex networks. Through agent-based simulations, we show a process of convergence towards a common language, and explore how the topology of the underlying networks affects its dynamics. We find that small-world effects act to speed up convergence, but observe no effect of topology on the communicative efficiency of common languages. We further explore differences in agent learning, discriminating between scenarios in which new agents learn from their parents (vertical transmission) versus scenarios in which they learn from their neighbors (oblique transmission), finding that vertical transmission results in faster convergence and generally hi

SUBMITTER: Danovski K 

PROVIDER: S-EPMC9426894 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature