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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]
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 ...
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 ...
The magazine said that the book was not easy to read, but that it would expose experienced programmers to both old and new topics. [8] A review of SICP as an undergraduate textbook by Philip Wadler noted the weaknesses of Scheme as an introductory language for a computer science course. [9]
2012. Made fellow of the Computer History Museum "for his pioneering work in artificial intelligence and expert systems." [22] 2013. IEEE Computer Society Computer Pioneer Award for "pioneering work in Artificial Intelligence, including development of the basic principles and methods of knowledge-based systems and their practical applications".
The first knowledge-based systems were primarily rule-based expert systems. These represented facts about the world as simple assertions in a flat database and used domain-specific rules to reason about these assertions, and then to add to them. One of the most famous of these early systems was Mycin, a program for medical diagnosis.
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 output.
Code: The Hidden Language of Computer Hardware and Software; Compilers: Principles, Techniques, and Tools; Computer Graphics: Principles and Practice; Computers and Intractability; Concepts, Techniques, and Models of Computer Programming; Concrete Mathematics