Pragmatic Communication

Pragmatic communication focuses on optimizing information exchange for specific goals, moving beyond simple data transmission to prioritize efficiency and effectiveness in diverse contexts. Current research explores this through various models, including those leveraging large language models (LLMs) for intention resolution and multi-agent reinforcement learning for coordinated communication and control in complex systems like collaborative robotics and networked control. This field is significant for advancing AI capabilities in human-computer interaction and improving efficiency in resource-constrained communication systems, impacting areas such as healthcare, manufacturing, and autonomous systems.