Rule-Based AI
Rule-Based AI is a type of artificial intelligence that operates on a predefined set of logical rules or if-then statements to make decisions or solve problems. It relies on explicit knowledge encoded by human experts, rather than learning from data like machine learning systems. This approach is deterministic, meaning it produces consistent outputs for given inputs based on the rules.
Developers should learn Rule-Based AI for applications requiring high interpretability, transparency, and control, such as expert systems in healthcare diagnosis, business process automation, or regulatory compliance tools. It's particularly useful in domains where rules are well-defined and stable, and where explainable decisions are critical, such as in legal or financial systems.