Results 211 to 220 of about 577,642 (264)
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The Knowledge Engineering Review, 1988
Abstract Expert systems and hypertext are technologies which are coming together. This paper reviews the strengths and weaknesses of expert systems and hypertext. Then the complementarity of the two is both argued and illustrated. Translating expertise from documents into expert systems is difficult, but hypertext systems exploit the ...
Roy Rada, Judith Barlow
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Abstract Expert systems and hypertext are technologies which are coming together. This paper reviews the strengths and weaknesses of expert systems and hypertext. Then the complementarity of the two is both argued and illustrated. Translating expertise from documents into expert systems is difficult, but hypertext systems exploit the ...
Roy Rada, Judith Barlow
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IEEE Transactions on Systems, Man, and Cybernetics, 1986
Expert systems research is founded on the principle that the problem domains it is applied to are stable and logically independent of the process of finding solutions to those problems. This notion has a range of convenience whose boundaries must be acknowledged to prevent inappropriate, useless, and even dangerous attempts to apply expert system ...
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Expert systems research is founded on the principle that the problem domains it is applied to are stable and logically independent of the process of finding solutions to those problems. This notion has a range of convenience whose boundaries must be acknowledged to prevent inappropriate, useless, and even dangerous attempts to apply expert system ...
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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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Expert systems in anesthesiology
Drugs of Today, 1998There are only a limited number of computer-based systems designed to support anesthesiologists in the operating room. This is evident from the very small number of publications on this topic. These systems may be classified by the functions they perform and include: intelligent anesthesia workstations (with current data acquisition, conditioning and ...
M, Krol, D L, Reich
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Communications of the ACM, 1988
Connectionist networks can be used as expert system knowledge bases. Furthermore, such networks can be constructed from training examples by machine learning techniques. This gives a way to automate the generation of expert systems for classification problems.
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Connectionist networks can be used as expert system knowledge bases. Furthermore, such networks can be constructed from training examples by machine learning techniques. This gives a way to automate the generation of expert systems for classification problems.
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Neural Networks, 1995
Abstract The advantages and disadvantages of classical rule-based and neural approaches to expert system design are complementary. We propose a strictly neural expert system architecture that enables the creation of the knowledge base automatically, by learning from example inferences.
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Abstract The advantages and disadvantages of classical rule-based and neural approaches to expert system design are complementary. We propose a strictly neural expert system architecture that enables the creation of the knowledge base automatically, by learning from example inferences.
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Journal of the American Society for Information Science, 1984
AbstractExpert systems are intelligent computer applications that use data, a knowledge base, and a control mechanism to solve problems of sufficient difficulty that significant human expertise is necessary for their solution. Expert systems use artificial intelligence problem‐solving and knowledge‐representation techniques to combine human expert ...
N. Shahla Yaghmai, Jacqueline A. Maxin
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AbstractExpert systems are intelligent computer applications that use data, a knowledge base, and a control mechanism to solve problems of sufficient difficulty that significant human expertise is necessary for their solution. Expert systems use artificial intelligence problem‐solving and knowledge‐representation techniques to combine human expert ...
N. Shahla Yaghmai, Jacqueline A. Maxin
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Annals of Otology, Rhinology & Laryngology, 1996
An otoneurological expert system was developed to help collect data and diagnose both central and peripheral diseases causing vertigo. Patient history and otoneurological and other examination results are used in the reasoning process. The case history data can be either mandatory or supportive.
E, Kentala +3 more
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An otoneurological expert system was developed to help collect data and diagnose both central and peripheral diseases causing vertigo. Patient history and otoneurological and other examination results are used in the reasoning process. The case history data can be either mandatory or supportive.
E, Kentala +3 more
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Hermeneutics in expert systems
Knowledge-Based Systems, 1990Hermeneutics belongs to a sphere of sciences that were traditionally developed within a framework of theology; its origin dates back to the second century BC. Techniques and methods developed by hermeneutics stem from an attempt to reconstruct the correct interpretation of a text through structural analysis of the text itself.
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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, 1990Il-Yeol Song, Joseph LaGue
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