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Expert systems

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
openaire   +3 more sources

Expert systems and expert behavior

Journal of Medical Systems, 1992
Iliad 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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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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Optical expert systems

Applied Optics, 1987
A general approach to using spatial light modulators in expert systems and in related AI methods is discussed. The information capacity of such system can far exceed the capacity of the spatial light modulator itself.
H H, Szu, H J, Caulfield
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Experts' systems instead of expert systems

AI & Society, 1995
By 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 Hermann, Katharina Just
openaire   +1 more source

Fuzzy Expert Systems

Fuzzy Logic Theory and Applications, 2018
In which we present fuzzy set theory, consider how to build fuzzy expert systems and illustrate the theory through an example. 4.1 Introduction, or what is fuzzy thinking? Experts usually rely on common sense when they solve problems. They also use vague

semanticscholar   +1 more source

Otoneurological Expert System

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. Mandatory questions are used to confirm a diagnosis, and
E, Kentala   +3 more
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AI Agents and Agentic Systems: A Multi-Expert Analysis

Journal of Computational Information Systems
The emergence of AI agents and agentic systems represents a significant milestone in artificial intelligence, enabling autonomous systems to operate, learn, and collaborate in complex environments with minimal human intervention.
Laurie Hughes   +19 more
semanticscholar   +1 more source

Expert system for selecting expert system shells

Information and Software Technology, 1988
Abstract A prototype expert system is described that advises end-users in the selection of a suitable development environment for small- to medium-scale expert system applications. The system, running on a microcomputer, assesses the suitability of an application as a whole for expert systems techniques and recommends the five ‘best’ products from ...
A Martin, RKH Law
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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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