Results 231 to 240 of about 1,501,270 (269)

The state of knowledge-based systems

Communications of the ACM, 1994
Knowledge-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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Knowledge-Based Control Systems

2001
The monitoring and control of devices and systems has attracted attention from the field of knowledge-based systems for a number of reasons. The problem is intrinsically knowledge-intensive, benefiting from awareness of the behaviour and interactions of components.
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Transferability of Knowledge Based Systems

1991
This presentation illucidates the impact information technology factors may have on transferability of knowledge based systems. The paper describes how database content, knowledge acquisition and knowledge representation may hamper or enhance viable transfer of knowledge based systems.
Thomas Schioler, John Nolan, Peter McNair   +2 more
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Knowledge acquisition for knowledge-based engineering systems

International Journal of Information Technology and Management, 2005
This paper is essentially concerned with the development of formal representations of knowledge required prior to the development of knowledge-based engineering systems (KBESs). Initially, the paper provides a brief introduction to knowledge-based systems (KBSs) and KBESs, stating the key commonalities and differences between the two, and presents the ...
S. Preston, Craig B. Chapman, Martyn Pinfold, G. Smith   +3 more
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Cooperative Knowledge-Based Systems

Intelligent Automation & Soft Computing, 1996
ABSTRACTTraditional query processing provides exact answers to queries. It usually requires that users fully understand the database structure and content to issue a query. Due to the complexity of database applications, incorrect or incompletely specified queries are frequently posed and the users often receive no answers or they might need more ...
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A framework for knowledge-based systems

Journal of Applied Non-Classical Logics, 1996
The paper continues the theme of [ knowledge.ps ]. We differentiate between our approach to knowledge representation and that of others by expressing the following Working Hypothesis: Knowledge is a data type, and knowledge revision is accomplished by continuous operations on it, which are coordinated with its effective basis.
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AN INFERENCE BROWSER FOR VERIFYING THE KNOWLEDGE BASE IN KNOWLEDGE-BASED SYSTEMS

International Journal on Artificial Intelligence Tools, 1993
In developing knowledge-based systems, the process of collecting the knowledge from the experts, representing it in certain formats, and verifying it is required. It is however not easy to verify the formulated knowledge base by checking if a desired conclusion is derived by a sequence of inferring steps.
Suk I. Yoo, Chang H. Park
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Validation of Nonmonotonic Knowledge-Based Systems

[1990] Proceedings of the 2nd International IEEE Conference on Tools for Artificial Intelligence, 1993
Nonmonotonic logical systems are logics in which the introduction of new axioms can invalidate old theorems. For practical applications, the authors restrict themselves to nonmonotonic systems that consist of facts and rules, and call them nonmonotonic knowledge-based systems (KBSs).
Chin-Liang Chang, Rolf A. Stachowitz, Jacqueline B. Combs   +2 more
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Knowledge-Based Systems in Medicine

1991
In early 1990, Miller and Maserie described their belief that early approaches to computer-based decision support in medicine had been flawed in their adoption of the “Greek oracle” model of consultation [1]—computer programs to which a physician would turn for advice, answering patient-related questions but otherwise deferring to the dialog style and ...
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Knowledge Representation for Knowledge Based Leadership System

2006
Leaders make decisions in different and sometimes difficult situations. These decisions are often converted into valuable knowledge needed by other people in decision positions. For example, students becoming leaders need knowledge about leadership to make good judgments.
Ronald L. Hartung, Anne Håkansson
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