Symbol Emergence

Symbol emergence research investigates how shared symbolic systems arise from interactions between agents, aiming to understand the origins of language and meaning. Current studies heavily utilize computational models, often employing variations of the Metropolis-Hastings algorithm within naming games and incorporating multimodal sensory-motor information and probabilistic generative models like variational autoencoders. This work contributes to our understanding of communication, cognition, and artificial intelligence by providing mechanistic explanations for symbol creation and shared understanding, potentially informing the development of more sophisticated AI systems capable of natural language processing and semantic understanding.