Emergent communication of multimodal deep generative models based on Metropolis-Hastings naming game

Deep generative models (DGM) are increasingly employed in emergent communication systems. However, their application in multimodal data contexts is limited. This study proposes a novel model that combines multimodal DGM with the Metropolis-Hastings (MH) naming game, enabling two agents to focus join...

Celý popis

Podrobná bibliografia

Vydané v:	Frontiers in robotics and AI Ročník 10; s. 1290604
Hlavní autori:	Hoang, Nguyen Le, Taniguchi, Tadahiro, Hagiwara, Yoshinobu, Taniguchi, Akira
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Switzerland Frontiers Media S.A 31.01.2024
Predmet:	deep generative model emergent communication Metropolis-Hastings multimodal Robotics and AI symbol emergence variational autoencoder naming game Metropolis-Hastings symbol emergence multimodal variational autoencoder deep generative model emergent communication
ISSN:	2296-9144, 2296-9144
On-line prístup:	Získať plný text
Tagy:	Pridať tag Žiadne tagy, Buďte prvý, kto otaguje tento záznam!