Referential Communication

Referential communication studies how individuals successfully convey information about objects or concepts to others, focusing on the challenges of shared understanding and efficient communication strategies. Current research investigates this process in diverse contexts, including multi-agent systems, human-human dialogue, and interactions between artificial intelligence models, employing methods like reinforcement learning and analysis of shared linguistic constructions to improve communication success. These advancements are crucial for developing more robust and natural human-computer interaction, as well as for understanding the fundamental mechanisms of collaborative communication in both biological and artificial systems.