Concept dictionary
Expert System
An expert system is a program that applies encoded specialist knowledge and rules to solve problems in a narrow domain.
- Review state
- Reviewed in POC
- Freshness
- Current
- Version
- 3
Also called
- Expert System
- Rule-Based Expert System
Remember it this wayExpert system: specialist rules plus an inference engine.
In plain language
An expert system is a program that represents specialist knowledge, often as facts and rules, and applies an inference process to problems in a narrow domain.
Why it matters
Expert systems show an earlier path to AI: knowledge was explicitly encoded rather than learned from huge datasets. The comparison clarifies the strengths and maintenance burdens of rules, learned models, and hybrid systems.
Example
A medical expert system asks about symptoms, applies rules from a knowledge base, and produces a diagnosis recommendation with the reasoning path it followed.
Common misconception
An expert system is not a human expert and is not automatically correct because experts supplied its rules. Its coverage is limited by the encoded knowledge and inference design.
Related terms
Sources
- NIST, “An Overview of Artificial Intelligence and Robotics: Volume 1”defines expert systems as knowledge-and-reasoning programs for problems that ordinarily require human expertise.
Learn more
- Compare [[artificial-intelligence|Artificial Intelligence (AI)]], [[algorithm|Algorithm]], [[system|System]], and [[machine-learning|Machine Learning]] to place Expert System in the surrounding system.
- Follow the cited source material above for the method, standard, or research context behind this draft.