Journal ArticleDOI
Expert Computer Systems
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TLDR
Since these systems use a combination of artificial intelligence (AI) problem-solving and knowledgerepresentation techniques, information on these areas is also included.Abstract:
Artificial intelligence is no longer science theory. A variety of thinking systems are out of the laboratory and successfully solving problems using ai knowledge-representation techniques. 50 references.read more
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Journal ArticleDOI
The role of fuzzy logic in the management of uncertainty in expert systems
TL;DR: F fuzzy logic is suggested, which is the logic underlying approximate or, equivalently, fuzzy reasoning, which leads to various basic syllogisms which may be used as rules of combination of evidence in expert systems.
Journal ArticleDOI
Query Optimization in Database Systems
Matthias Jarke,Jürgen Koch +1 more
TL;DR: These methods are presented in the framework of a general query evaluation procedure using the relational calculus representation of queries, and nonstandard query optimization issues such as higher level query evaluation, query optimization in distributed databases, and use of database machines are addressed.
Journal ArticleDOI
Expert Systems and Diagnostic Expertise in the Mechanical and Electrical Domains
Pamela K. Fink,John C. Lusth +1 more
TL;DR: An expert system design is presented, called the integrated diagnostic model (IDM), that attempts to address some of the issues involved in bridging the gap between human and computer expertise.
Book
Expert systems: working systems and the research literature
TL;DR: In this article, the authors present a list of sixty expert systems that have moved out of development laboratories into field test and routine use, and about sixty such systems are listed as examples.
References
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Journal ArticleDOI
The prolog phenomenon
TL;DR: These languages, known by the ambitious term "AI languages," were widely perceived as providing built-in facilities that everyone would need for the next generation of AI systems, the way LISP had provided facilities for the previous one.
Proceedings Article
Extending a knowledge-based system to deal with ad hoc constraints
John McDermott,Barbara Steele +1 more
TL;DR: Rules are added to R1 that can now accept as input commands that specify how particular components are to be configured Whenever one of the commands becomes relevant, these rules take control, extend the configuration in the direction indicated by the command, and then step aside, allowing Rt's ordinary-case configuration rules to regain control.
Book ChapterDOI
Towards an Intelligent Textbook of Neurology
TL;DR: KMS is domain-independent, supports multiple inference methods and representation languages, and is designed for direct use by physicians during the knowledge acquisition process, and has the potential to overcome some of the problems that have inhibited the use of knowledge-based systems by physicians in the past.
Proceedings Article
Knowledge base management for experiment planning in molecular genetics
TL;DR: The use of a representation language involving schemata and associated derived models has been extended to include all aspects of domain knowledge and strategy and heuristic problem solving knowledge to allow the extension of knowledge base management techniques for acquisition and retrieval of procedural knowledge.
Proceedings ArticleDOI
An application of variable-valued logic to inductive learning of plant disease diagnostic rules
TL;DR: This paper describes an application of AQVAL/1, a set of programs implementing the variable-valued logic system VL1, to determine diagnostic rules for soybean diseases through an inductive inference process.