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Constructing knowledge-based systems
IEEE Software, 1993Vital, a four-and-a-half-year ESPRIT II research and development project that involves nine organizations in five countries is discussed. It addresses the problems of effective process modeling for knowledge-based systems, providing guidelines on when to use various knowledge-engineering methods and techniques, and reducing the bottleneck in acquiring ...
Shadbolt, N. R., Motta, E., Rouge, A.
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Science, 1986
First developed two decades ago, knowledge-based systems have seen widespread application in recent years. While performance has been a strong focus of attention, building such systems has also expanded our conception of a computer program from a black box providing an answer to something capable of explaining its answers, acquiring new knowledge, and ...
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First developed two decades ago, knowledge-based systems have seen widespread application in recent years. While performance has been a strong focus of attention, building such systems has also expanded our conception of a computer program from a black box providing an answer to something capable of explaining its answers, acquiring new knowledge, and ...
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Knowledge-based system requirements
Knowledge-Based Systems, 1993There is a growing demand both for greater 'ease of use' and 'support in use' as existing software packages are employed for more complex tasks. End users are faced with both the intricacies of the existing software, and the increasing complexity of the application-problem domains. As a result, there are important implications for the design of support
Rachel M. Jones +2 more
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Knowledge-based System for Urinalysis
Proceedings of the 16th International Conference on Enterprise Information Systems, 2014Urinalysis is a very important test of laboratory medicine, providing valuable information about metabolic, kidney, and urinary tract. For several reasons, including lacking of professional qualification, it does not receive the proper attention, what prevents it to achieve its whole power.
Fabrício Henrique Rodrigues +3 more
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Knowledge base views in multiuser knowledge based systems
Proceedings. Fourth International Conference on Data Engineering, 2003The author presents a methodology for representing knowledge in a collection of interlinked, largely autonomous knowledge base views, to facilitate multiple heterogeneous use of a KBS (knowledge based system). The knowledge base views are defined so that while knowledge outside each user's view is transparent to him/her, problem solving can be achieved
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Knowledge-based systems for genetics
International Journal of Man-Machine Studies, 1985This article describes knowledge-based systems for genetics called GENETICS-I, II, and III, and their possible extensions. GENETICS-I works on a simple genetic model where a phenotype is determined by a gene-pair, each gene having a value of 0 or 1 (diallelism). In GENETICS-II, which is a generalization of GENETICS-I, each gene can have a value of 0, 1,
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The state of knowledge-based systems
Communications of the ACM, 1994Knowledge-based systems (KBS) burst onto the computing scene in the 1970s, as a result of the seminal impressive results obtained by the DENDRAL system [5] for elucidating chemical structures and the MYCIN system that could diagnose infectious blood diseases and explain, in naturalistic English, its reasoning when requested [33]
Frederick Hayes-Roth, Neil Jacobstein
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2009
The tools of artificial intelligence (AI) can be divided into two broad types: knowledge-based systems (KBSs) and computational intelligence (CI). KBSs use explicit representations of knowledge in the form of words and symbols. This explicit representation makes the knowledge more easily read and understood by a human than the numerically derived ...
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The tools of artificial intelligence (AI) can be divided into two broad types: knowledge-based systems (KBSs) and computational intelligence (CI). KBSs use explicit representations of knowledge in the form of words and symbols. This explicit representation makes the knowledge more easily read and understood by a human than the numerically derived ...
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DEVELOPING A KNOWLEDGE BASED SYSTEM
1990This paper presents the fulfillment of a knowledge based system to assist the molecular biologist with experimental design* and emphasizes certain aspects of the methodological approach for knowledge modeling. Knowledge modeling serves to formalize, away from any implementation tool, an expertise given in natural language.
Bernard Migault +2 more
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