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MYCIN was an early backward chaining expert system that used artificial intelligence to identify bacteria causing severe infections, such as bacteremia and meningitis, and to recommend antibiotics, with the dosage adjusted for patient's body weight — the name derived from the antibiotics themselves, as many antibiotics have the suffix "-mycin".
One such early expert system shell based on Prolog was APES. [27] One of the first use cases of Prolog and APES was in the legal area namely, the encoding of a large portion of the British Nationality Act. Lance Elliot wrote: "The British Nationality Act was passed in 1981 and shortly thereafter was used as a means of showcasing the efficacy of ...
The following Comparison of Prolog implementations provides a reference for the relative feature sets and performance of different implementations of the Prolog computer programming language. A comprehensive discussion of the most significant Prolog systems is presented in an article published in the 50-years of Prolog anniversary issue of the ...
Whereas the original systems were focussed on medical diagnosis the applicability of the approach was generalized by the successor D3 [4]. [5] As the predecessors were implemented in the LISP programming language, d3web [ 6 ] is a full Java re-implementation.
For example, MYCIN was an early expert system for medical diagnosis and EMYCIN was an inference engine extrapolated from MYCIN and made available for other researchers. [1] As expert systems moved from research prototypes to deployed systems there was more focus on issues such as speed and robustness.
Poplog is a reflective, incrementally compiled software development computer programming integrated development environment and system platform for the programming languages POP-11, Common Lisp, Prolog, and Standard ML.
The system is in use in basic and applied AI research at JPL. SHINE was designed to operate in a real-time environment. SHINE was designed to operate in a real-time environment. It is written in Common LISP, but able to be utilized by non-LISP applications written in conventional programming languages such as C and C++.
INTERNIST-I (or INTERNIST-1 [1]) was a broad-based computer-assisted decision tree developed in the early 1970s at the University of Pittsburgh as an educational experiment. . The INTERNIST system was designed primarily by AI pioneer and Computer Scientist Harry Pople to capture the diagnostic expertise of Jack D. Myers, chairman of internal medicine in the University of Pittsburgh School of ...
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