51 citations · 307 across the 33 of their papers we have counts for
4 papers · 1 filter
Control as Probabilistic Inference as an Emergent Communication Mechanism in Multi-Agent Reinforcement Learning
Tomoaki Nakamura, Akira Taniguchi, Tadahiro Taniguchi
This paper proposes a generative probabilistic model integrating emergent communication and multi-agent reinforcement learning. The agents plan their actions by probabilistic infer…
Symbol emergence as interpersonal cross-situational learning: the emergence of lexical knowledge with combinatoriality
Yoshinobu Hagiwara, Kazuma Furukawa, Takafumi Horie +2
We present a computational model for a symbol emergence system that enables the emergence of lexical knowledge with combinatoriality among agents through a Metropolis-Hastings nami…
Metropolis-Hastings algorithm in joint-attention naming game: Experimental semiotics study
Ryota Okumura, Tadahiro Taniguchi, Yosinobu Hagiwara +1
In this study, we explore the emergence of symbols during interactions between individuals through an experimental semiotic study. Previous studies investigate how humans organize…
Recursive Metropolis-Hastings Naming Game: Symbol Emergence in a Multi-agent System based on Probabilistic Generative Models
Jun Inukai, Tadahiro Taniguchi, Akira Taniguchi +1
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. A…