Expert-Systems Capability (Diagnosis and Design)
An expert system is an artificial intelligence
technique in which the knowledge to accomplish a particular task
(or set of tasks) is encoded
a priori from a human expert. An expert system typically consists
to two pieces. The knowledge base represents the expert's domain
knowledge and must be encoded as efficiently as possible due to the
size of the database. This representation often takes the form
of rules. The reasoner exploits the knowledge in the
rules in order to apply that knowledge to a particular problem. Expert
systems often have an explanation
facility as well.
Production systems are often used
to realize expert systems. Expert systems also often lag the cutting
edge of AI research since they are normally more application-oriented.
Examples of implemented expert systems include:
- MYCIN: Diagnosis of Infectious Diseases
- MOLE: Disease Diagnosis
- PROSPECTOR: Mineral Exploration Advice
- DESIGN ADVISOR: Silicon Chip Design Advice
- R1: Computer Configuration
Architectures have implemented expert systems include:
Go to A List of Common Capabilities.
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