ArticleFrontiers in robotics and AI2024
Collective predictive coding hypothesis: symbol emergence as decentralized Bayesian inference.
Article in Frontiers in robotics and AI, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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3 citing papers in PubMed.
- Collective predictive coding as model of science: formalizing scientific activities towards generative science.Royal Society open science · 2025Article
- Hypothesis on the functional advantages of the selection-broadcast cycle structure: global workspace theory and dealing with a real-time world.Frontiers in robotics and AI · 2025Article
- Metropolis-Hastings algorithm in joint-attention naming game: experimental semiotics study.Frontiers in artificial intelligence · 2023Article
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Abstract
Understanding the emergence of symbol systems, especially language, requires the construction of a computational model that reproduces both the developmental learning process in everyday life and the evolutionary dynamics of symbol emergence throughout history. This study introduces the collective predictive coding (CPC) hypothesis, which emphasizes and models the interdependence between forming internal representations through physical interactions with the environment and sharing and utilizing meanings through social semiotic interactions within a symbol emergence system. The total system dynamics is theorized from the perspective of
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