Rule-Based Model
A rule-based model is a type of artificial intelligence or expert system that uses a set of predefined logical rules to make decisions or inferences. These rules are typically expressed in an 'if-then' format, where specific conditions trigger corresponding actions or conclusions. It operates without learning from data, relying instead on human-crafted knowledge and logic.
Developers should learn rule-based models for scenarios requiring high interpretability, transparency, and control, such as in regulatory compliance, medical diagnosis, or business process automation. They are particularly useful when domain knowledge is well-defined and data is scarce or noisy, as they avoid the 'black box' nature of machine learning models and allow for easy debugging and validation.