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Expert Characteristics: Implications for Expert Systems
2021While expert systems are artificial intelligence (AI) agents, they share many common characteristics with human experts. As technology progresses, such systems are not just able to make simple decisions following "simplistic" linear logical protocols; they "behave" as real experts in at least two ways: by demonstrating superb decision-making skills and
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ASME 1994 International Computers in Engineering Conference and Exhibition, 1994
Abstract This article presents the validation of a part analysis method for the creation of a process planning system for automobile prototype activity at the PSA group. The methodology presented is founded upon the division of the problem into two semi-separate sub-fields.
Villeneuve, François, Sabourin, Laurent
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Abstract This article presents the validation of a part analysis method for the creation of a process planning system for automobile prototype activity at the PSA group. The methodology presented is founded upon the division of the problem into two semi-separate sub-fields.
Villeneuve, François, Sabourin, Laurent
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Assisting the Expert in “Expert” Systems
1987Expert Systems are at the cutting edge of Artificial Intelligence. A number of successes have been claimed in problem areas usually associated with human decision making.
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Expertise in expert systems: knowledge acquisition for biological expert systems
Bioinformatics, 1993In this paper it is argued that an expert system requires more than factual knowledge before it can display expertise in a given domain. The additional knowledge consists of the heuristics or 'rules of thumb' used by an expert to manipulate and interpret the factual knowledge.
Roger E. Cooley, Marion Edwards
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Getting the Expert into the System
The Serials Librarian, 1995The author provides an overview of the potential value expert systems have for serials cataloging. Criteria for determining the suitability of a project for use with an expert system are provided and four technical services examples are ...
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2008
While technology and human abilities have evolved over the years, individuals still have limitations in their abilities to accomplish certain tasks. This may be due to limits on financial or cerebral resources. Information needs have expanded and evolved as well. With the spurring of globalization and flatter hierarchies in organizations, it has become
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While technology and human abilities have evolved over the years, individuals still have limitations in their abilities to accomplish certain tasks. This may be due to limits on financial or cerebral resources. Information needs have expanded and evolved as well. With the spurring of globalization and flatter hierarchies in organizations, it has become
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Energy expert: An expert system for architects
Computers, Environment and Urban Systems, 1989Abstract Principles of Expert Systems have been applied in different knowledge-rich domains such as geology, medicine, engineering and computer science. Not much effort has, however, been done to develop expert systems in architecture. This paper presents a prototype advisory expert system, called ENERGY EXPERT which we have developed for the ...
Bharati Jog, Maria Zemankova
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1994
Although the numerical design method discussed in chapters two and three is extremely powerful, it forms only one step in the overall design process. There are many issues which need to be addressed in order to apply it successfully, and it is here where the expert system proves invaluable.
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Although the numerical design method discussed in chapters two and three is extremely powerful, it forms only one step in the overall design process. There are many issues which need to be addressed in order to apply it successfully, and it is here where the expert system proves invaluable.
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The Use of Expert Systems for Training and Training in Expert Systems
1991The banks which worked with expert systems during the 1980s were as interested to learn as to produce constructs which could be of assistance to their own operations. At the end, both the benefits derived from AI applications and the learning experience in itself were found to be most rewarding.
Dimitris N. Chorafas, Heinrich Steinmann
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Predicting expert system success: an expert system for expert systems
Proceedings of the 1990 ACM SIGBDP conference on Trends and directions in expert systems - SIGBDP '90, 1990Joseph LaGue, Il-Yeol Song
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