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Abstract: The explosion in the rate, quality and diversity of image acquisition instruments has propelled the development of expert systems to organize and query image collections more efficiently.
January 20 , 1936Wehawken, New Jersey Edward Albert Feigenbaum, (born January 20 , 1936 Wehawken, New Jersey, U.S ., an American systems analyst and the most important pioneer in the development of expert systems in artificial intelligence (AI).
On his arrival at Stanford, Feigenbaum founded the Knowledge Systems Laboratory to begin the work for which he would become famous: the development of expert systems, computer programs that demonstrate the knowledge of a human expert in a specialized domain.
Over the last two decades, considerable advances have been achieved in the development of expert systems as a decision support tool for the solution of various engineering and management problems.
The proposed hand tracking and feature extraction methodology is an important milestone in the development of expert systems designed for sign language recognition, such as automated sign language translation systems.
Our key observations are related to the scope of the applications, to the trade-off between usability and automation, to the role of human experts in the use and development of expert systems, on the technical solutions used, on aspects of the operation of the expert system and on the similarities between expert systems and information systems.
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Financial institutions such as banks have been active in the development of a variety of expert systems.
The report reviews the potential benefits, requirements, and limitations of expert systems under development, and high-lights the major issues to be considered in choosing such a system for implementation.
Although a wide variety of expert systems has been built, knowledge acquisition remains a development bottleneck [2, 21].
Evaluation of Expert Systems: Issues and Case Studies.
The development of such an expert system usually requires a domain expert, who knows how to solve the problem at hand but is not much informed or familiar with computer programming, and a knowledge engineer, well versed in the design of expert systems and computer technology involved but with little or no knowledge of the problem at hand.
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