Rule-Based System
In computer science,Rule-Based System is used to store and use knowledge.In order to interpret information in a useful way. It is often used in artificial intelligence applications and research.
Rule-based systems can be used to perform lexical analysis, to compile or interpret computer programs, or for natural language processing.
Rule-based systems in AI require a set of facts or data sources, and a set of rules for operating on that data. These rules are sometimes called "If statements" because they tend to follow the idea of "If X happens, then do Y."
Rule-Based System in Artificial Intelligence Advantages
- Rules-based systems are usually cost-effective and produce accurate results;
- The output generated by the system depends on rules, so the output response is stable rather than random;
- A rule-based system covering any scenario will provide high accuracy;
- The risk to system accuracy can be reduced.