Rule Based Systems
Rule Based Systems are a type of artificial intelligence or expert system that uses a set of predefined rules to make decisions or draw conclusions. These rules are typically expressed as 'if-then' statements that encode domain knowledge, allowing the system to process input data and produce outputs based on logical inference. They are widely used in areas like business process automation, diagnostic tools, and decision support systems.
Developers should learn Rule Based Systems when building applications that require transparent, explainable decision-making, such as in regulatory compliance, medical diagnosis, or customer service chatbots. They are particularly useful in domains where human expertise can be codified into clear rules, offering a straightforward alternative to machine learning models when data is scarce or interpretability is critical. For example, in fraud detection systems, rules can be defined to flag suspicious transactions based on known patterns.