Human-AI pairs using a Metropolis-Hastings acceptance rule in a joint-attention naming game achieved better categorization and shared sign convergence than pairs with always-accept or always-reject AI agents.
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Co-Creative Learning via Metropolis-Hastings Interaction between Humans and AI
Human-AI pairs using a Metropolis-Hastings acceptance rule in a joint-attention naming game achieved better categorization and shared sign convergence than pairs with always-accept or always-reject AI agents.