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Expert system

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…

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Software architecture

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Map overview Semantic statistics

Expert system

Nodes78
Edges77
Triples89
Avg. degree1.97
Density0.025641
Components1

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Expert system

Top relations

related to Formal introduction and later developments · 17
Expert system → AI, Allen Newell, Bruce Buchanan, CADUCEUS, Dendral, Edward Feigenbaum, Expert, Feigenbaum, Herbert Simon, Internist-I, MYCIN, Randall Davis, Stanford Heuristic Programming Project, The, The Stanford, These, This
related to Disadvantages · 14
Expert system → AI, As, COBOL, However, IT, Lisp, Obtaining, PCs, Performance, Prolog, System, The, These, This
has application · 11
Expert system → AI, Also, Any, For, Hayes-Roth, Hearsay, In, Other, Russian, The, These
related to Advantages · 8
Expert system → Ease, Essentially, First, In, IT, The, This, With
related to Early development · 7
Expert system → For, However, One, Soon, The, These, Thus
related to Software architecture · 6
Expert system → An, Dendral, Expert, In, Mycin, The
is a · 2
Expert system → computer system emulating the decision-making ability of a human expert, example of a knowledge-based system
related to Current approaches to expert systems · 1
Expert system → It
related to External links · 1
Expert system → Code Project

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Important terminology

expert systems system knowledge rules inference early first ai also many base one new use problem logic engine using used

Entity relationships Subject–Predicate–Object triples

SubjectPredicateObjectConfidenceSrc
Expert systemis acomputer system emulating the decision-making ability of a human expert0.90text
Expert systemis aexample of a knowledge-based system0.90text
flow chartsinstance ofresearchers realized that there were significant limits when using traditional methods0.80text
statistical pattern matchinginstance ofresearchers realized that there were significant limits when using traditional methods0.80text
or probability theory.Formal introductioninstance ofresearchers realized that there were significant limits when using traditional methods0.80text
later developments.mw-parser-output .amboxinstance ofresearchers realized that there were significant limits when using traditional methods0.80text
Intellicorpinstance offirst on systems hard coded on top of Lisp programming environments and then on expert system shells developed by vendors0.80text
Intellicorpinstance ofvendors0.80text
Inference Corporation shifted their priorities to developing PC-based toolsinstance ofvendors0.80text
rule enginesinstance ofas IT professionals grasped concepts0.80text
such tools migrated from being standalone tools for developing special purpose expert systemsinstance ofas IT professionals grasped concepts0.80text
to being one of many standard toolsinstance ofas IT professionals grasped concepts0.80text

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