Metropolis-Hastings Naming Game: Symbol Emergence as Probabilistic Generative Models

Abstract

We propose the Metropolis-Hastings Naming Game (MHNG), a probabilistic generative model that derives the dynamics of symbol emergence as Bayesian inference. Acceptance and rejection of partner messages are formalised as Metropolis-Hastings steps, providing a principled bridge between multi-agent communication and posterior sampling.