Knowledge Representation and Reasoning (KRR)

Knowledge Representation and Reasoning (KRR) is a field in artificial intelligence that focuses on how to encode information about the world in a way that computers can understand and use. It involves creating formal systems—like logic, symbols, or frameworks—that capture facts and relationships. Reasoning then allows the computer to draw conclusions, make decisions, or solve problems based on this stored knowledge. Essentially, KRR helps machines mimic aspects of human thinking by organizing information efficiently and enabling logical inference.