expert system
Sign in to savecomputer system that emulates the decision-making ability of a human expert
AI overview
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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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.