@inproceedings{
imel2023noisy,
title={Noisy Population Dynamics Lead to Efficiently Compressed Semantic Systems},
author={Nathaniel Imel and Richard Futrell and Michael Franke and Noga Zaslavsky},
booktitle={NeurIPS 2023 workshop: Information-Theoretic Principles in Cognitive Systems},
year={2023},
url={https://openreview.net/forum?id=9oEXdXmMNr}
}
Converging cross-linguistic evidence suggests that that human vocabularies are shaped for efficient communication, but we know little about the agent-based dynamics that could explain their evolution. In this paper, we show that very general population dynamics of signaling games lead to the emergence of information-theoretically efficient meaning systems. In numerical simulations, we observe that noisy perception of meaning can result in evolved systems with higher efficiency.
Noisy Population Dynamics Lead to Efficiently Compressed Semantic Systems
Nathaniel Imel Richard Futrell Michael Franke Noga Zaslavsky