Computer system emulating the decision-making ability of a human expert
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.[1]
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 code.[2] The first expert systems were created in the 1970s and then proliferated in the 1980s.[3] Expert systems were among the first truly successful forms of AI software.[4][5][6][7][8]
An expert system is divided into two subsystems: 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 abilities.
^Jackson, Peter (1998). Introduction To Expert Systems (3 ed.). Addison Wesley. p. 2. ISBN 978-0-201-87686-4.
^"Conventional programming". Pcmag.com. Archived from the original on 2012-10-14. Retrieved 2013-09-15.
^Leondes, Cornelius T. (2002). Expert systems: the technology of knowledge management and decision making for the 21st century. pp. 1–22. ISBN 978-0-12-443880-4.
^Russell, Stuart; Norvig, Peter (1995). Artificial Intelligence: A Modern Approach(PDF). Simon & Schuster. pp. 22–23. ISBN 978-0-13-103805-9. Archived from the original (PDF) on 5 May 2014. Retrieved 14 June 2014.
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