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Relevant bibliographies by topics / Use of expert systems

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Journal articles

Academic literature on the topic 'Use of expert systems'

Author: Grafiati

Published: 28 May 2022

Last updated: 29 May 2022

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Journal articles on the topic "Use of expert systems"

1

Alty, J. L. "Use of expert systems." Computer-Aided Engineering Journal 2, no. 1 (1985): 2. http://dx.doi.org/10.1049/cae.1985.0001.

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2

BORMAN, STU. "Use of environmental expert systems growing." Chemical & Engineering News 67, no. 41 (1989): 25a—27. http://dx.doi.org/10.1021/cen-v067n041.p025a.

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3

Kershner, J. D., and R. D. Lorenz. "Construction Techniques for Factory Floor Expert Systems." Journal of Engineering for Industry 110, no. 4 (1988): 395–97. http://dx.doi.org/10.1115/1.3187899.

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This paper addresses the specific problems encountered when building an expert system for use in a manufacturing process. These problems include: general unfamiliarity of the experts with expert systems, the diffused nature of the expertise, the low availability of the experts, and the users fear of being replaced or constrained by the computer system. The paper addresses these problems by presenting specific strategies developed in the construction of an expert system for use in controlling a plating process for electronic components.

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4

Nolte, Alexander, and Michael Prilla. "Anyone can use Models." International Journal of e-Collaboration 9, no. 4 (2013): 45–60. http://dx.doi.org/10.4018/ijec.2013100104.

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Models play an important role in modern organizations. They are used to coordinate the interplay of stakeholders, inform the design of software systems and are even used for controlling purposes. While these models affect multiple people within an organization their creation and usage is limited to a few experts. This is due to the common belief that non-expert modelers are not capable of performing modeling tasks or working with models without the help of experts. With this paper the authors argue that people are capable of interacting with models when they are given the right means to do so. The authors shed light onto the potential benefits of non-expert model interaction by conducting multiple case studies and describing suitable tool support for non-expert modelers.

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5

Beránková, M., L. Dömeová, and M. Houška. "User-oriented methodology of communication with expert systems." Agricultural Economics (Zemědělská ekonomika) 54, No. 5 (2008): 193–201. http://dx.doi.org/10.17221/248-agricecon.

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The article deals with communication between a user and an expert system, especially from the viewpoint of psychology aspects of the communication process. Psychological factor of the communication between the user and the expert system seems to be marginal, although it is a necessary part of a final methodology of the expert system development. Domain expert, knowledge engineer as well as IT expert, who takes part in the expert system creation, usually sets up a unified and static communication interface that is identical for all users. The communication process form highly influences user’s satisfaction of working with the expert system and his willingness to reuse that system. User’s satisfaction expressed by some metrics is one of the key indicators of both efficiency and effectiveness of the expert system. If the system is not used because of the user’s discontent, the money spent for its creation cannot be understood as an investment (asset), but as an expense. In the article, there are classified the users from the point of view of their personality type and some recommendations for a communication project development in the frame of the methodology of the expert system creation are suggested.

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Wrzalik, Artur, and Borut Jereb. "Use of Expert Systems in Crisis Management." System Safety: Human - Technical Facility - Environment 1, no. 1 (2019): 406–11. http://dx.doi.org/10.2478/czoto-2019-0052.

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AbstractThe today’s change in climatic conditions results in weather phenomena occurring increasingly more frequent in Poland that can lead to crisis situations. Also the growing number of high or increased risk of serious industrial failure establishments causes greater probability of adverse and harmful effects for the environment and the population. A response to the need for minimization of those and other threats is effective crisis management. This management should be supported by IT solutions. The paper proposes to use a selected artificial intelligent method - expert systems - in the crisis management process. An expert system is a computer program adopting the knowledge and reasoning mechanisms to solve problems that require experience and expertise. The idea of expert systems is to transfer the knowledge held by a domain expert into a knowledge base, which is applied by the reasoning mechanism. The article presents some results from surveys carried out in selected local government entities of the Silesian voivodeship as regards the interest in implementation of artificial intelligence in the discussed field, and proposes an expert system for a particular crisis situation.

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7

Cass, Kimberly. "Expert Systems as General-Use Advisory Tools." Business and Professional Ethics Journal 15, no. 4 (1996): 61–85. http://dx.doi.org/10.5840/bpej199615412.

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8

Tamer Cavusgil, S., and Cuneyt Evirgen. "Use of expert systems in international marketing." European Journal of Marketing 31, no. 1 (1997): 73–86. http://dx.doi.org/10.1108/03090569710157043.

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9

Hodgson, R., and H. Oman. "Battery data for use in expert systems." Journal of Power Sources 17, no. 1-3 (1986): 171–80. http://dx.doi.org/10.1016/0378-7753(86)80031-3.

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10

Birts, A., L. Mcaulay, and M. King. "Financial Analysis and Expert Systems." Journal of Information Technology 8, no. 3 (1993): 184–94. http://dx.doi.org/10.1177/026839629300800308.

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Financial analysis expert systems have been developed but there is little evidence to suggest that such expert systems are as widely used in the financial analyst community as other information technology products. The research findings presented here suggest that one explanation for this non-use of expert systems may be that users do not have a need to use the existing technology. We arrived at this conclusion by researching the rich picture of the task and the needs of a small number of financial analysts. In so doing, we were able to develop insights into the topic area which to our knowledge are new. Our analysis may confirm a need to re-orientate expert systems development. Thus, the selection and use of research methods which are geared to shedding light on users’ needs may be valuable to practitioners, in developing product development strategies, and to researchers, in casting new light on their topic areas.

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