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This study proposes a novel model that combines multimodal DGM with the Metropolis-Hastings (MH) naming game, enabling two agents to focus jointly on a shared ...
May 24, 2022 · This study provides a new model for emergent communication, which is based on a probabilistic generative model (PGM) instead of a discriminative model based on ...
Missing: Compositionality Generalization
We propose the recursive Metropolis-Hastings naming game (RMHNG) as an N-agent version of MHNG and demonstrate that RMHNG is an approximate Bayesian inference ...
A new model for emergent communication is provided, which is based on a probabilistic generative model (PGM) instead of a discriminative model based on deep ...
Missing: Compositionality | Show results with:Compositionality
This study provides a new model for emergent communication, which is based on a probabilistic generative model (PGM) instead of a discriminative model based on ...
Aug 4, 2024 · In this study, our objective is to investigate whether the MHNG, which models symbol emergence as a decentralized Bayesian inference ...
Jan 31, 2024 · This study proposes a novel model that combines multimodal DGM with the Metropolis-Hastings (MH) naming game, enabling two agents to focus jointly on a shared ...
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Compositionality and Generalization in Emergent Communication using Metropolis-Hastings Naming Game. IEEE International Conference on Development and ...
Oct 27, 2022 · Results In Table 2, we compare the generalization and compositionality of emergent languages with and without regularization applied on the ...
Missing: Metropolis- | Show results with:Metropolis-
This paper focuses on the emergent nature of general symbols and their meanings, rather than the structural complexity of language. The meaning of signs is ...