Rule-Based System

Rule-based systems are among the clearest AI approaches because they describe problem solving through explicit rules. In these systems, behavior is not learned from data but produced by applying logical structures defined by humans. They can be highly effective in domains that are structured, well-defined, and driven by regulation or procedure. They are also strong in terms of explainability, since it is often clear why the system reached a particular conclusion. That said, they may be more limited than learning-based models in noisy, dynamic, and high-dimensional environments.