Results 111 to 120 of about 576,005 (166)
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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 Expert, 1990
A brief background on British involvement in computer science is given, focusing on the Alvey Project. This was a five-year, $1-billion research-and-development program for information technology begun in response to Japan's Fifth Generation Computer Systems initiative, which highlighted expert systems as a major opportunity area. Britain's manpower in
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A brief background on British involvement in computer science is given, focusing on the Alvey Project. This was a five-year, $1-billion research-and-development program for information technology begun in response to Japan's Fifth Generation Computer Systems initiative, which highlighted expert systems as a major opportunity area. Britain's manpower in
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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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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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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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Science, 1983
Artificial intelligence, long a topic of basic computer science research, is now being applied to problems of scientific, technical, and commercial interest. Some consultation programs, although limited in versatility, have achieved levels of performance rivaling those of human experts.
R O, Duda, E H, Shortliffe
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Artificial intelligence, long a topic of basic computer science research, is now being applied to problems of scientific, technical, and commercial interest. Some consultation programs, although limited in versatility, have achieved levels of performance rivaling those of human experts.
R O, Duda, E H, Shortliffe
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Decision Support Systems, 1996
Abstract A model for integrating Expert Systems is presented. The model — Synergetic Expert System (SES) — contains several expert systems which can be arranged synergetically to suit the particular needs of a problem. An object-oriented approach is used to design the model and handle its various components. The building blocks of the model, arranged
Yosef Beeri, Israel Spiegler
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Abstract A model for integrating Expert Systems is presented. The model — Synergetic Expert System (SES) — contains several expert systems which can be arranged synergetically to suit the particular needs of a problem. An object-oriented approach is used to design the model and handle its various components. The building blocks of the model, arranged
Yosef Beeri, Israel Spiegler
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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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