Agent Architecture

Agent architecture research focuses on designing intelligent systems capable of complex tasks and interactions, often within dynamic environments. Current efforts center on integrating large language models (LLMs) into agent designs, leveraging their reasoning and knowledge representation capabilities, and exploring various architectures like multi-agent systems and hybrid approaches combining LLMs with reinforcement learning or model-based reasoning. This research is significant for advancing artificial intelligence, enabling more sophisticated automation in diverse fields such as policy-making, robotics, and education, and providing new tools for scientific discovery.