Learning Approximate and Exact Numeral Systems via Reinforcement Learning

arXiv:2105.13857v2 Announce Type: replace
Abstract: Recent work (Xu et al., 2020) has suggested that numeral systems in different languages are shaped by a functional need for efficient communication in an information-theoretic sense. Here we take a learning-theoretic approach and show how efficient communication emerges via reinforcement learning. In our framework, two artificial agents play a Lewis signaling game where the goal is to convey a numeral concept. The agents gradually learn to communicate using reinforcement learning and the resulting numeral …

abstract arxiv communication cs.ai cs.cl framework functional information languages reinforcement reinforcement learning sense show systems type via work