4 citations · 7 across the 9 of their papers we have counts for
3 papers · 1 filter
Learning Efficient Recursive Numeral Systems via Reinforcement Learning
Andrea Silvi, Jonathan Thomas, Emil Carlsson +2
It has previously been shown that by using reinforcement learning (RL), agents can derive simple approximate and exact-restricted numeral systems that are similar to human ones (Ca…
Cultural evolution via iterated learning and communication explains efficient color naming systems
Emil Carlsson, Devdatt Dubhashi, Terry Regier
It has been argued that semantic systems reflect pressure for efficiency, and a current debate concerns the cultural evolutionary process that produces this pattern. We consider ef…
Learning Approximate and Exact Numeral Systems via Reinforcement Learning
Emil Carlsson, Devdatt Dubhashi, Fredrik D. Johansson
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 sens…