Knowledge representation is a field within artificial intelligence that focuses on developing methods and techniques to represent knowledge in a form that can be easily understood and manipulated by computers. This includes designing languages, frameworks, and systems to encode and organize knowledge in a structured and logical manner. The ultimate goal of knowledge representation is to enable computers to reason, make decisions, and solve complex problems based on the knowledge they possess. Common approaches in this field include semantic networks, ontologies, logic programming, and probabilistic models. Knowledge representation is a foundational area in AI that is essential for building intelligent systems that can effectively understand and interact with the world.