arXiv Computation and Language
Cultural Evolution Drives the Emergence of Conventions in Neural Emergent Communication
Read the original on arXiv Computation and Language →The paper introduces a new model that trains large populations of bi-directional neural agents in a fully distributed setting to play a referential game, addressing limitations of prior work that used only two agents or allowed shared internal representations. Experiments on multiple image datasets demonstrate the model’s effectiveness and scalability to large populations. The study also finds that more conventional languages are easier to learn, offering a direct advantage for cultural transmission.
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