Rule-based Systems

Rule-based systems are a type of artificial intelligence that uses a set of rules to make decisions or predictions. These rules are typically created by human experts in a particular domain and are based on their knowledge and experience. The system takes in data as input and applies the rules to the data to arrive at a conclusion or recommendation. Rule-based systems are often used in applications such as expert systems, decision support systems, and diagnostic systems. They are particularly useful in situations where there is a large amount of data to be processed and analyzed, and where the rules for making decisions or predictions are well-defined and can be easily codified. Rule-based systems can be designed to handle both simple and complex decision-making tasks, and can be used in a wide range of industries, including healthcare, finance, and manufacturing.