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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".
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.
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.
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.
It was one of the first medical expert systems to go into routine clinical use internationally [73] and the first expert system to be used for diagnosis daily in Australia. [83] The system was written in "C" and ran on a PDP-11 in 64K of memory. It had 661 rules that were compiled; not interpreted.
XSB is a compiled dialect of Prolog based on the Warren Abstract Machine. [1] Unlike systems derived from Quintus, XSB uses a module system based on Prolog atoms. [1] It features tabled resolution and supports the HiLog language (permitting limited higher-order logic programming). [1]
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++.