Reegipõhine

Reegipõhine is a Estonian term that translates to "rule‑based" in English. It refers to systems or methodologies that rely on a predefined set of rules to perform tasks, make decisions, or interpret information. In information technology and artificial intelligence, reegipõhine approaches are often contrasted with data‑driven or machine‑learning methods.

The core idea of a rule‑based system is that knowledge is encoded explicitly as if‑then statements or logical formulas. An expert writes these rules based on domain expertise, and the system applies them to solve problems or answer queries. Classic examples include expert systems for medical diagnosis, fraud detection, and configuration management. The architecture typically consists of a rule base, an inference engine, and a user interface. Inference engines may use forward chaining, backward chaining, or hybrid strategies to evaluate which rules match a given situation.

One of the main advantages of reegipõhine technology is its transparency; stakeholders can inspect, audit, and modify rules, which facilitates compliance and accountability. It also performs reliably in environments with limited training data. However, the approach can become unwieldy when the rule set grows large or when knowledge changes frequently. Incorrect or incomplete rules may cause false positives or negatives, and the system often struggles with patterns that are not well expressed in symbolic form.

Because of these strengths and limitations, reegipõhine methods are popular in regulated industries where clear justification of decisions is required, and they are increasingly combined with statistical models to form hybrid systems that blend rule‑based interpretability with data‑driven prediction.