ArticleFrontiers in artificial intelligence2023
Recursive Metropolis-Hastings naming game: symbol emergence in a multi-agent system based on probabilistic generative models.
Article in Frontiers in artificial intelligence, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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4 citing papers in PubMed, 8 citations in OpenAlex.
- Collective predictive coding as model of science: formalizing scientific activities towards generative science.Royal Society open science · 2025Article
- Collective predictive coding hypothesis: symbol emergence as decentralized Bayesian inference.Frontiers in robotics and AI · 2024Article
- Metropolis-Hastings algorithm in joint-attention naming game: experimental semiotics study.Frontiers in artificial intelligence · 2023Article
- Emergent communication of multimodal deep generative models based on Metropolis-Hastings naming game.Frontiers in robotics and AI · 2023Article
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4 authors at 1 institution in 1 country.
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Abstract
In the studies on symbol emergence and emergent communication in a population of agents, a computational model was employed in which agents participate in various language games. Among these, the Metropolis-Hastings naming game (MHNG) possesses a notable mathematical property: symbol emergence through MHNG is proven to be a decentralized Bayesian inference of representations shared by the agents. However, the previously proposed MHNG is limited to a two-agent scenario. This paper extends MHNG to an
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