rule-based expert system

A rule-based expert system is a computer program that uses artificial intelligence to solve problems in a specialized area, mimicking human expertise. These systems consist of two main components: a knowledge base and an inference engine. The knowledge base is a collection of facts, often in the form of "if-then" rules, acquired from human experts. The inference engine uses these rules to interpret information and provide answers or recommendations.12

Expert systems can perform tasks like classification, diagnosis, and planning. They have applications in diverse fields such as medical diagnosis, financial investing, and chemical analysis. While they can often outperform a single human expert in their narrow domain, they lack common sense and can sometimes make errors if given absurd input. The development of expert systems began in the 1960s, with early examples like DENDRAL and MYCIN.134