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Experts' systems instead of expert systems
AI & Society, 1995By studying several cases of expert systems' use, a variety of difficulties were identified as directly depending on specific characteristics of experts and their tasks. This concerns more than the questions: “May experts be replaced by machines?” or “Is experts' knowledge explicable?”.
Thomas Herrmann, Katharina Just
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American Journal of Health-System Pharmacy, 1994
The concept of computerized expert systems is explained, the potential utility of these systems in pharmacy is explored, and strategies and imperatives for implementing them are described. Computerized expert systems attempt a higher level of analysis than traditional computer programs. They can be defined as systems that attempt to make or assist in a
R, Morrell, B, Wasilauskas, R, Winslow
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The concept of computerized expert systems is explained, the potential utility of these systems in pharmacy is explored, and strategies and imperatives for implementing them are described. Computerized expert systems attempt a higher level of analysis than traditional computer programs. They can be defined as systems that attempt to make or assist in a
R, Morrell, B, Wasilauskas, R, Winslow
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Expert systems and expert behavior
Journal of Medical Systems, 1992Iliad 4.0 and QMR 2.03 are computer-based diagnostic knowledge bases that can play many roles in decision support and other areas of medical practice, but neither appears ready to assume the role of an expert diagnostic consultant. In contrast to human experts, these programs have problems related to recognition of their own limitations, interpretation
W, Sumner, E K, Shultz
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Proceedings of the ACM '81 conference on - ACM 81, 1981
In recent years there has been significant progress in developing computer programs that can perform technical tasks normally thought to require the knowledge, experience and judgment of human specialists. Known as expert systems or knowledge-based systems, these programs have achieved high levels of performance at such diverse but specialized tasks as
Bruce G. Buchanan, Richard O. Duda
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In recent years there has been significant progress in developing computer programs that can perform technical tasks normally thought to require the knowledge, experience and judgment of human specialists. Known as expert systems or knowledge-based systems, these programs have achieved high levels of performance at such diverse but specialized tasks as
Bruce G. Buchanan, Richard O. Duda
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SIMULATION, 1985
Artificial intelligence and expert systems are the latest buzzwords and the hottest topics in the scientific community today Some experts are proclaiming that artificial intelligence (AI) has already emerged as one of the most significant technologies of this cen tury.
Shannon, Robert E. +2 more
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Artificial intelligence and expert systems are the latest buzzwords and the hottest topics in the scientific community today Some experts are proclaiming that artificial intelligence (AI) has already emerged as one of the most significant technologies of this cen tury.
Shannon, Robert E. +2 more
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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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IEEE Expert, 1990
D.E. O'Leary (1987) noted the inappropriate nature of traditional software validation techniques for expert system validation and proposed a research methods approach. R.M. O'Keefe et al. (1987) established validation as an important concern in expert system research and development and presented general descriptive methodologies for qualitative and ...
Timothy J. O'Leary +3 more
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D.E. O'Leary (1987) noted the inappropriate nature of traditional software validation techniques for expert system validation and proposed a research methods approach. R.M. O'Keefe et al. (1987) established validation as an important concern in expert system research and development and presented general descriptive methodologies for qualitative and ...
Timothy J. O'Leary +3 more
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Proceedings 1993 The First New Zealand International Two-Stream Conference on Artificial Neural Networks and Expert Systems, 2002
Two realizations of connectionist expert systems (shells) which facilitate building expert systems when raw data and/or expert rules are available are presented. The knowledge base is represented as a neural network trained either by using past data or using rules.
Nikola K. Kasabov, Lakhmi C. Jain
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Two realizations of connectionist expert systems (shells) which facilitate building expert systems when raw data and/or expert rules are available are presented. The knowledge base is represented as a neural network trained either by using past data or using rules.
Nikola K. Kasabov, Lakhmi C. Jain
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IEEE Expert, 1988
A background and overview of artificial intelligence (AI) research in Japan is provided. Industrial AI research in the steel, construction, and energy-related industries is examined. A trend is revealed toward addressing design and productivity as opposed to the diagnosis and cost-saving approach dominating US expert systems. >
Koichi Ishii, Sakae Hayami
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A background and overview of artificial intelligence (AI) research in Japan is provided. Industrial AI research in the steel, construction, and energy-related industries is examined. A trend is revealed toward addressing design and productivity as opposed to the diagnosis and cost-saving approach dominating US expert systems. >
Koichi Ishii, Sakae Hayami
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