Knowledge representation is a field in artificial intelligence that focuses on how to formally describe information about the world in a way that a computer can understand. It involves creating models that capture relationships, concepts, and facts, allowing machines to reason and make decisions based on that information. Common methods of knowledge representation include semantic networks, frames, and ontologies. These structures help organize knowledge in a way that reflects how humans think, enabling applications like natural language processing and expert systems to function effectively.