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Knowledge Representation refers to techniques and methodologies used in artificial intelligence for encoding, storing, manipulating, and sharing knowledge among various AI systems and applications. It involves representing real-world entities, concepts, relationships, and rules in a formal manner, enabling AI algorithms to reason, learn, and make decisions based on the available knowledge. This subcategory falls under Machine Learning Methods, which is a subset of Artificial Intelligence Algorithms, itself a part of Artificial Intelligence, all under the broader category of Technology. Knowledge Representation plays a critical role in developing intelligent systems that can understand, process, and generate human-like knowledge, making it an essential component of artificial intelligence research and development.