Knowledge Representation is a field in artificial intelligence that focuses on how to formally represent information about the world in a way that a computer can utilize to solve complex tasks. It involves creating models that capture relationships, concepts, and facts, allowing machines to understand and reason about the information. Common methods of knowledge representation include semantic networks, frames, and ontologies. These structures help organize knowledge in a way that makes it easier for computers to process and retrieve information. By effectively representing knowledge, systems can perform tasks such as natural language processing, problem-solving, and decision-making.