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A 3 page paper that defines expert systems and discusses their relationship to artificial intelligence. The paper identifies the elements of an expert system and provides examples of the categories of these systems. Bibliography lists 4 sources.
Page Count:
3 pages (~225 words per page)
File: MM12_PGexpai.9.rtf
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Unformatted sample text from the term paper:
are systems that are capable of making financial forecasts, other systems that can automatically schedule delivery routes and even some that can diagnose illnesses. Some of these systems are intended
to act as substitutes for human experts, some are intended to assist the human expert (Webopedia, 2003; Computer Dictionary, 1996). The complicated definition is that experts systems are under
the general category of artificial intelligence (Webopedia, 2003). It is complicated because discussing artificial intelligence can be confusing to many people. Designing an expert system requires a knowledge engineer, an
expert who investigates and studies how human experts think and make decisions. This person must be able to translate those behaviors into rules that the computer is capable of understanding
(Engelmore and Feigenbaum, 2008a; Webopedia, 2003). The Computer Dictionary (1996) equates an expert system with artificial intelligence and defines it in this way: "A computer program that contains a
knowledge base and a set of algorithms or rules that infer new facts from knowledge and from incoming data." The sophistication of problem solving the application is capable of depends
on the quality of data and information obtained from the human expert (Computer Dictionary, 1996). Engelmore and Feigenbaum (2008a) explain this further stating that the scientific goal of artificial
intelligence is to understand intelligence so thoroughly that engineer can design programs that mimic human intelligence. Artificial intelligence is concerned with very high level intellectual pursuits including, but not
limited to symbolic inference, reasoning, language, problem solving, and learning (Engelmore and Feigenbaum, 2008a). Intelligence is a vast aspect of the human mind. This may be why the term expert
systems and knowledge-based systems are viewed as being synonymous (Engelmore and Feigenbaum, 2008a). There are two major elements in an expert system. There is the knowledge base and there is
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