Expert system
In artificial intelligence, 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 code. The first expert systems were created in the 1970s and then proliferated in the 1980s. Expert systems were among the first truly successful forms of artificial intelligence (AI) software. 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.
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- enIn artificial intelligence, 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 code. The first expert systems were created in the 1970s and then proliferated in the 1980s. Expert systems were among the first truly successful forms of artificial intelligence (AI) software. 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.
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- enIn artificial intelligence, 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 code. The first expert systems were created in the 1970s and then proliferated in the 1980s. Expert systems were among the first truly successful forms of artificial intelligence (AI) software. 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.
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- enExpert system
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- www.codeproject.com/KB/recipes/ArtificialAdvice-1.aspx
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- AI winter
- Allen Newell
- Artificial intelligence
- Artificial neural network
- Automated planning and scheduling
- Automated reasoning
- Automated reasoning system
- Backward chaining
- Big data
- Binary data
- Boolean satisfiability problem
- C (programming language)
- CADUCEUS (expert system)
- Category:Artificial intelligence
- Category:Decision support systems
- Category:Expert systems
- Category:Information systems
- Central processing unit
- Centro Elettrotecnico Sperimentale Italiano
- Client–server model
- CLIPS
- COBOL
- Constraint logic programming
- Constraint satisfaction
- Data mining
- Deductive classifier
- Dendral
- Digital Equipment Corporation
- Edward Feigenbaum
- Expert systems for mortgages
- Fifth generation computer
- File:BackwardChaining David C England 1990 p21.gif
- File:Symbolics3640 Modified.JPG
- First order logic
- Fortune 500
- Forward chaining
- Fuzzy logic
- Garvan Institute of Medical Research
- Herbert A. Simon
- IBM PC
- IBM PC DOS
- Inference engine
- IntelliCorp (software)
- Itaipu Dam
- Knowledge acquisition
- Knowledge base
- Knowledge-based system
- Knowledge engineering
- Knowledge representation
- Learning classifier system
- LISP
- Lisp (programming language)
- Lisp machine
- Logic synthesis
- Machine learning
- Minicomputer
- Mycin
- MYCIN
- Neuron Data
- Ontology (information science)
- Oracle Corporation
- Overfitting
- Overgeneralization
- Procedural programming
- Prolog
- Rapid prototyping
- Recurrent neural network
- Richard M. Karp
- Ridracoli
- Rule-based machine learning
- Rule-based system
- SAP (software)
- Satisfiability
- Semantic Web
- Siebel Systems
- Speech recognition
- Stanford University
- Symbolics
- Texas Instruments
- VAX
- VAX 9000
- Venture capital
- Xcon
- Xerox
- SameAs
- 4113491-6
- Córas saineolach
- Ekspertinė sistema
- Ekspertni sistemi
- Ekspertni sistemi
- Ekspertni sustavi
- Ekspertsistēma
- Ekspert sistemlər
- Ekspertski sistemi
- Ekspertsüsteem
- Expertensystem
- Expertní systém
- Expertný systém
- Expertsysteem
- Expertsystem
- Expert system
- Expert system
- Hệ chuyên gia
- m.02rkt
- meTk
- Q184609
- Sistema aditu
- Sistema especialista
- Sistema esperto
- Sistema espertu
- Sistema expert
- Sistema experto
- Sistema experto
- Sistem expert
- Sistem pakar
- Sistem pakar
- Système expert
- System ekspertowy
- Szakértői rendszer
- Uzman sistemler
- Έμπειρα συστήματα
- Експертен систем
- Експертна система
- Експертна система
- Сараптау жүйесі
- Экспертная система
- Эксперт систем
- Էքսպերտ համակարգ
- מערכת מומחה
- سامانه خبره
- نظام خبير
- विशेषज्ञ प्रणाली
- ระบบผู้เชี่ยวชาญ
- エキスパートシステム
- 专家系统
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- Category:Artificial intelligence
- Category:Decision support systems
- Category:Expert systems
- Category:Information systems
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