Rule-Based Systems

Rule-based systems are a type of artificial intelligence that use predefined rules to make decisions or solve problems. These systems operate on a set of 'if-then' statements that dictate how input data should be processed. They are characterized by their reliance on human expertise to define the rules, making them suitable for domains where knowledge can be explicitly encoded. Common use cases include expert systems in medical diagnosis, financial forecasting, and automated customer support, where specific conditions trigger predefined responses. Despite their limitations in handling uncertainty and learning from data, rule-based systems remain valuable for tasks requiring clear logic and transparency.