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Expert Systems in Statistics

The Knowledge Engineering Review, 1984
Abstract Statistical expert systems are attracting increasing attention as a possible way to alleviate the shortage of expert consultant statisticians. This paper summarises the requirements of such systems, showing how the demands of data analysis are different from those of other fields, and describes some recent work.
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Delimiting Expert Systems

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 and simulation

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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Neural expert systems

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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Validating expert systems

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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Expert systems in Japan

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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Expert systems in anesthesiology

Drugs of Today, 1998
There 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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Expert System Technology: Expert System Interface

2019
This chapter aims to identify reasons for the relative weakness of the link and clarify issues that will be essential to the strengthening of such a link and thereby increase the usability of expert systems as a whole. The knowledge of several human experts can be combined to give a system more breadth than a single person is likely to achieve.
Chaomei Chen, Roy Rada
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Expert Systems Research

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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Expert systems in the UK

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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