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Erp and Expert Systems

In: Computers and Technology

Submitted By hemarohira
Words 744
Pages 3
Expert Systems

Hema Rohira
IT-620-8035-Info Resource Management-01/2013
01/13/2013
Professor: Carol Farabee,

Abstract Expert systems (ESs) are applications of artificial intelligence, that emulates the decision-making ability of a human expert. ESs are designed to solve complex problems by reasoning about knowledge, like an expert (Wikepedia). There are expert systems that can diagnose human illnesses, make financial forecasts, and schedule routes for delivery vehicles. Some expert systems are designed to take the place of human experts, while others are designed to aid them.

The first ESs was the Logic Theorist developed in 1956 .In 1970s, with the introduction of two AI languages ,LISP and Prolog ,ESs were brought out of the lab in to the businesses. In the 1980s, expert systems proliferated as they were recognized as a practical tool for solving real-world problems. Universities offered expert system courses and two thirds of the Fortune 1000 companies applied the technology in daily business activities. [Durkin, J. Expert Systems: Catalog of Applications. Intelligent Computer Systems, Inc., Akron, OH, 1993.). To avoid re-inventing the wheel, expert system shells were created that had more specialized features for building large expert systems.
ESs are ideal for domains that are well defined, in which there is a large corpus of human expertise and knowledge, yet the knowledge is mainly heuristic and uncertain. Although expert systems do not necessarily perform in the same manner that human experts will perform, they are built on the premise that they are somehow mimicking or modeling the decision-making and problem-solving skills of human experts. An important feature of expert systems, which sets them apart from typical programs, is that they will usually include an explain facility. That is, they will try to explain how they reached their

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