History of knowledge representation and reasoning

Knowledge Representation and Reasoning (KRR) is a way of representing ideas so that computers can use them to make decisions. It is the branch of artificial intelligence that deals with reasoning about knowledge. KRR dates back to the early days of computers, when scientists were trying to find ways for computers to think and make decisions like humans. Since then, KRR has grown and developed into a powerful tool for problem-solving and decision-making in many areas, such as robotics and self-driving cars. KRR involves taking information about a topic and representing it in a way that computers can understand. This representation is often done using symbols, and computer programs can use these symbols to identify patterns and generate solutions. KRR also allows computers to infer new information based on existing information by using logical rules. This process, called logic-based reasoning, is a key component of artificial intelligence.