⊿ Point. {R} Glossary. ◢ Keyword: E. ◥ University. {q} PhD. {tr} Training. ⚫ UK. ⚫ England. ⬤ London. ↂ EndNote. ☗ MDX. MDX: PhD. ↂ Blogger. RSK666-0000043. RSK666-0000049. Expert system. An expert system is divided into two sub-systems: the inference engine and the knowledge base. The knowledge base represents facts and rules.
The inference engine applies the rules to the known facts to deduce new facts. Inference engines can also include explanation and debugging capabilities.[10] History[edit] Edward Feigenbaum in a 1977 paper said that the key insight of early expert systems was that "intelligent systems derive their power from the knowledge they possess rather than from the specific formalisms and inference schemes they use" (as paraphrased by Hayes-Roth, et al.) Although, in retrospect, this seems a rather straightforward insight, it was a significant step forward at the time.
Expert systems were introduced by the Stanford Heuristic Programming Project led by Feigenbaum, who is sometimes referred to as the "father of expert systems". In the 1980s, expert systems proliferated. In 1981 the first IBM PC was introduced, with the MS-DOS operating system. Advantages[edit]