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Current issues in expert systems

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Published by Academic Press in London, San Diego .
Written in English


  • Expert systems (Computer science)

Book details:

Edition Notes

Includes bibliographical references.

Statementedited by A. van Lamsweerde, P. Dufour.
SeriesInternational lecture series in computer science
ContributionsLamsweerde, A. van, Dufour, P.
LC ClassificationsQA76.76.E95 C87 1987
The Physical Object
Paginationxvii, 240 p. :
Number of Pages240
ID Numbers
Open LibraryOL1795095M
ISBN 100127140301
LC Control Number89194996

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Purchase Expert Systems - 1st Edition. Print Book & E-Book. ISBN ,   This is a first step on a path between the current 14 R.P. van de Riet / Problems with Expert Systems? situation of narrow application fields of so many ES's and the ultimate ideal situation that the ES is able to choose, dependent on the purpose it is going to be used, its own knowledge representa- tion and problem solving by: The Problem with Expert Systems. The Problem with Expert Systems. The dependence people place on cases poses a problem to those who treat human cognition as being primarily rule-based. Much work in artificial intelligence, for example, is done in "expert systems." These systems are based on the notion that expert knowledge consists of a collection of rules. EXPERT SYSTEMS PROCESS This book is organized in the structure of a strategic process for developing successful expert systems. Figure presents the hierarchy of topics as they are presented here and in the subsequent chapters. The strategic process is assuming, of course, that it is kept current.

F. Schmalhofer, in International Encyclopedia of the Social & Behavioral Sciences, Expert Systems, also known as Knowledge-based Systems, Intelligent Agent Systems, or more generally as Knowledge Systems, are computer programs that exhibit a similar high level of intelligent performance as human expert system generally consists of four components: a knowledge base, the . expert systems. In this respect, the book does not distinguish itself from many other, serious textbooks in computer science. It does, however, distinguish itself from many books on expert systems. The book’s aim is not to leave the reader dumbfounded with the authors’ knowledge of a topic that has aroused interest.   Risk Management - Current Issues and Challenges. Edited by: Nerija Banaitiene. ISBN , PDF ISBN , Published CiteScore: ℹ CiteScore: CiteScore measures the average citations received per peer-reviewed document published in this title. CiteScore values are based on citation counts in a range of four years (e.g. ) to peer-reviewed documents (articles, reviews, conference papers, data papers and book chapters) published in the same four calendar years, divided by the number of.

Expert Systems: AI Course Lecture 35 – 36, notes, slides The system keeps track of the current state of problem solution and looks for rules which will move that state closer to a final solution. The Algorithm proceeds from a given situation to a desired The important issues . Book on knowledge-based (expert) systems, published in Contains a description of principal methods and techniques and implementations in Prolog and Lisp. It still offers a useful description. This book has 18 chapters and explains that the expert systems are products of artificial intelligence, branch of computer science that seeks to develop intelligent programs. What is remarkable for expert systems is the applicability area and solving of different issues in many fields of architecture, archeology, commerce, trade, education. The expert system approach to problem-solving differs radically from its conventional system development counterpart. This paper defines the expert system and introduces the production system architecture. The relative strengths and weakenesses of expert system and software engineering approaches to problem solving are discussed.