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expert system
Sign in to savecomputer system that emulates the decision-making ability of a human expert
An expert system is a computer program designed to mimic how a human expert makes decisions in a specific field by using stored knowledge and logical rules. These systems matter because they can help solve complex problems quickly and consistently in areas like medicine, engineering, and business where expert knowledge is valuable but scarce.
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Research
62,092 papers- Paediatric orthopaedic expert system.Health informatics journal · 2023
- Horse-Expert: An aided expert system for diagnosing horse diseases.Polish journal of veterinary sciences · 2016
- SeDeM Expert System, an Innovative Tool for Developing Directly Compressible Tablets: A Review.Current drug research reviews · 2021
- ESforRPD2: Expert System for Rice Plant Disease Diagnosis.F1000Research · 2018
- Prototype Expert System for Gout Diagnosis on an Outpatient Basis.Studies in health technology and informatics · 2023
via PubMed
~27 min read
Article
A Symbolics 3640 Lisp machine: an early (1984) platform for expert systems
In artificial intelligence (AI), an expert system is a computer system emulating the decision-making ability of a human expert. Expert systems are designed to solve complex problems by reasoning through bodies of knowledge, represented mainly as if–then rules rather than through conventional procedural programming code. Expert systems were among the first truly successful forms of AI software. They were created in the 1970s and then proliferated in the 1980s, being then widely regarded as the future of AI — before the advent of successful artificial neural networks. An expert system is divided into two subsystems: 1) a knowledge base, which represents facts and rules; and 2) an inference engine, which applies the rules to the known facts to deduce new facts, and can include explaining and debugging abilities.