Building Expert Systems

Building Expert Systems PDF

Author: James Martin

Publisher: Prentice Hall

Published: 1988

Total Pages: 486

ISBN-13:

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The vocabulary used with expert systems; Why expert systems?; What is an expert system?; Knowledge-base management and system evolution; Business opportunities offered by expert systems; Linking expert systems to toher software; The construction of expert systems; Verifying suitability of tasks for expert system support; Building expert systems; The expert system life cycle; Expert system construction requirements; Tools for building expert systems; Languages; Expert system shells; Commercial expert system shells; Hardware for expert systems; Construction strategies; development of a personal computer expert system; How ro select the right tools; The future of expert system technology; Index.

Systematic Introduction to Expert Systems

Systematic Introduction to Expert Systems PDF

Author: Frank Puppe

Publisher: Springer Science & Business Media

Published: 2012-12-06

Total Pages: 353

ISBN-13: 3642779719

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At present one of the main obstacles to a broader application of expert systems is the lack of a theory to tell us which problem-solving methods areavailable for a given problem class. Such a theory could lead to significant progress in the following central aims of the expert system technique: - Evaluating the technical feasibility of expert system projects: This depends on whether there is a suitable problem-solving method, and if possible a corresponding tool, for the given problem class. - Simplifying knowledge acquisition and maintenance: The problem-solving methods provide direct assistance as interpretation models in knowledge acquisition. Also, they make possible the development of problem-specific expert system tools with graphical knowledge acquisition components, which can be used even by experts without programming experience. - Making use of expert systems as a knowledge medium: The structured knowledge in expert systems can be used not only for problem solving but also for knowledge communication and tutorial purposes. With such a theory in mind, this book provides a systematic introduction to expert systems. It describes the basic knowledge representations and the present situation with regard tothe identification, realization, and integration of problem-solving methods for the main problem classes of expert systems: classification (diagnostics), construction, and simulation.

Expert Systems

Expert Systems PDF

Author: John Durkin

Publisher: Macmillan College

Published: 1994

Total Pages: 1204

ISBN-13:

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Presents a step-by-step methodology for designing expert systems. Each chapter on design methodology starts with a problem and leads the reader through the design of a system which solves that problem.

Knowledge Acquisition for Expert Systems

Knowledge Acquisition for Expert Systems PDF

Author: A. Kidd

Publisher: Springer Science & Business Media

Published: 2012-12-06

Total Pages: 203

ISBN-13: 1461318238

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Building an expert system involves eliciting, analyzing, and interpreting the knowledge that a human expert uses when solving problems. Expe rience has shown that this process of "knowledge acquisition" is both difficult and time consuming and is often a major bottleneck in the production of expert systems. Unfortunately, an adequate theoretical basis for knowledge acquisition has not yet been established. This re quires a classification of knowledge domains and problem-solving tasks and an improved understanding of the relationship between knowledge structures in human and machine. In the meantime, expert system builders need access to information about the techniques currently being employed and their effectiveness in different applications. The aim of this book, therefore, is to draw on the experience of AI scientists, cognitive psychologists, and knowledge engineers in discussing particular acquisition techniques and providing practical advice on their application. Each chapter provides a detailed description of a particular technique or methodology applied within a selected task domain. The relative strengths and weaknesses of the tech nique are summarized at the end of each chapter with some suggested guidelines for its use. We hope that this book will not only serve as a practical handbook for expert system builders, but also be of interest to AI and cognitive scientists who are seeking to develop a theory of knowledge acquisition for expert systems.

Expert Systems for Software Engineers and Managers

Expert Systems for Software Engineers and Managers PDF

Author: S. David Hu

Publisher: Springer Science & Business Media

Published: 2013-03-08

Total Pages: 302

ISBN-13: 1461310652

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This book is written for software engineers, software project leaders, and software managers who would like to introduce a new advanced software technology, expert systems, into their product. Expert system technology brings into programming a new dimension in which "rule of thumb" or heuristic expert knowledge is encoded in the program. In contrast to conventional procedural languages {e. g. , Fortran or C}, expert systems employ high-level programming languages {Le. , expert system shells} that enable us to capture the judgmental knowledge of experts such as geologists, doctors, lawyers, bankers, or insurance underwriters. Past expert systems have been more successfully applied in the problem areas of analysis and synthesis where the boundary of lo;nowledge is well defined and where experts are available and can be identified. Early successful applications include diagnosis systems such as MYCIN, geological systems such as PROSPECTOR, or design/configu ration systems such as XC ON. These early expert systems were mainly applicable to scientific and engineering problems, which are not theoreti cally well understood in terms of decisionmaking processes by their experts and which therefore require judgmental assessment. The more recent expert systems are being applied to sophisticated synthesis problems that involve a large number of choices, such as how the elements are to be compared. These problems normally entailed a large search space and slower speed for the expert systems designed. Examples of these systems include factory scheduling applications such as ISIS, or legal reasoning applications such as TAXMAN.

A Guide to Expert Systems

A Guide to Expert Systems PDF

Author: Donald Arthur Waterman

Publisher: Addison Wesley Publishing Company

Published: 1986

Total Pages: 456

ISBN-13:

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A boy & his grandparents live near a cursed wood. the boy longs for a dog - but the ungainly creature found by his grandfatherhardly fits his image of the perfect pet. But then the dog starts to grow human ears!