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An expert system is an example of a knowledge-based system. Expert systems were the first commercial systems to use a knowledge-based architecture. In general view, an expert system includes the following components: a knowledge base, an inference engine, an explanation facility, a knowledge acquisition facility, and a user interface. [48] [49]
VP-Expert quickly gained market share in the expert system development tool sector, particularly in academic and small to medium-sized business environments. By 1990, it had become the best-selling expert system shell, with 120,000 copies sold worldwide [ 4 ] and site licenses at DuPont, Kodak, and the Wharton School of Business.
These issues led to the second approach to knowledge engineering: the development of custom methodologies specifically designed to build expert systems. [1] One of the first and most popular of such methodologies custom designed for expert systems was the Knowledge Acquisition and Documentation Structuring (KADS) methodology developed in Europe ...
Natural language parsing could be performed on manuals and other expert documents and an initial first pass at the rules and objects could be developed automatically. Text generation was also extremely useful in generating explanations for system behavior. This greatly facilitated the development and maintenance of expert systems. [5]
Feigenbaum was an expert in programming languages and heuristics, and helped Lederberg design a system that replicated the way Djerassi solved structure elucidation problems. [1] They devised a system called Dendritic Algorithm (Dendral) that was able to generate possible chemical structures corresponding to the mass spectrometry data as an ...
Information expert (also expert or the expert principle) is a principle used to determine where to delegate responsibilities such as methods, computed fields, and so on. Using the principle of information expert, a general approach to assigning responsibilities is to look at a given responsibility, determine the information needed to fulfill it ...
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SHINE is an expert system and inference engine based upon the experience, requirements and technology that were collected by the Artificial Intelligence Research group at NASA/JPL in developing expert systems for the diagnosis of spacecraft health. [1] SHINE is based on technology first developed by James and Atkinson for the "STAR*TOOL" system ...