Procedural Knowledge

Procedural knowledge, encompassing the "how" of accomplishing tasks, is a burgeoning area of research focusing on how to represent, learn, and utilize this knowledge in artificial intelligence. Current efforts concentrate on developing models that can effectively integrate procedural knowledge from various sources, such as instructional videos, textual descriptions, and knowledge graphs, often employing deep learning architectures combined with symbolic reasoning or neuro-symbolic approaches. This research is significant because it advances AI's ability to perform complex tasks requiring sequential actions and reasoning, with implications for applications ranging from robot control and automated software development to improved educational tools and personalized learning systems.