Knowledge Acquisition for Expert Systems

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Publisher : Springer Science & Business Media
ISBN 13 : 1461318238
Total Pages : 203 pages
Book Rating : 4.4/5 (613 download)

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Book Synopsis Knowledge Acquisition for Expert Systems by : A. Kidd

Download or read book Knowledge Acquisition for Expert Systems written by A. Kidd and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 203 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Knowledge Acquisition for Expert Systems

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Publisher : Springer
ISBN 13 : 9781461290193
Total Pages : 208 pages
Book Rating : 4.2/5 (91 download)

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Book Synopsis Knowledge Acquisition for Expert Systems by : A. Kidd

Download or read book Knowledge Acquisition for Expert Systems written by A. Kidd and published by Springer. This book was released on 2011-10-12 with total page 208 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Knowledge Acquisition for Expert Systems

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Publisher :
ISBN 13 : 9781461318248
Total Pages : 212 pages
Book Rating : 4.3/5 (182 download)

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Book Synopsis Knowledge Acquisition for Expert Systems by : A. Kidd

Download or read book Knowledge Acquisition for Expert Systems written by A. Kidd and published by . This book was released on 1987-07-01 with total page 212 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Knowledge Acquisition for Expert Systems

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Author :
Publisher : McGraw-Hill Companies
ISBN 13 :
Total Pages : 216 pages
Book Rating : 4.F/5 ( download)

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Book Synopsis Knowledge Acquisition for Expert Systems by : Anna Hart

Download or read book Knowledge Acquisition for Expert Systems written by Anna Hart and published by McGraw-Hill Companies. This book was released on 1992 with total page 216 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Knowledge Acquisition in Practice

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Publisher : Springer Science & Business Media
ISBN 13 : 1846288614
Total Pages : 187 pages
Book Rating : 4.8/5 (462 download)

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Book Synopsis Knowledge Acquisition in Practice by : Nicholas Ross Milton

Download or read book Knowledge Acquisition in Practice written by Nicholas Ross Milton and published by Springer Science & Business Media. This book was released on 2007-05-01 with total page 187 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is the first book to provide a step-by-step guide to the methods and practical aspects of acquiring, modelling, storing and sharing knowledge. The reader is led through 47 steps from the inception of a project to its conclusion. Each is described in terms of reasons, required resources, activities, and solutions to common problems. In addition, each step has a checklist which tracks the key items that should be achieved.

Knowledge Acquisition

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Publisher :
ISBN 13 :
Total Pages : 408 pages
Book Rating : 4.3/5 (91 download)

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Book Synopsis Knowledge Acquisition by : Karen L. McGraw

Download or read book Knowledge Acquisition written by Karen L. McGraw and published by . This book was released on 1989 with total page 408 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents a practical view of the knowledge acquisition process, its methodologies and techniques, in order to enable readers to develop expert systems knowledge bases more effectively. It strikes a balance between presenting (1) summaries of research in the field of knowledge acquisition and (2) methodologies and techniques that have been applied and tested on numerous programs in various contexts. Written for novice knowledge engineers or others tasked with acquiring knowledge for the systematic development of expert systems. The presentation of the material does not presume a background in either computer science or artificial intelligence.

Automating Knowledge Acquisition for Expert Systems

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Publisher : Springer Science & Business Media
ISBN 13 : 1468471228
Total Pages : 282 pages
Book Rating : 4.4/5 (684 download)

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Book Synopsis Automating Knowledge Acquisition for Expert Systems by : Sandra Marcus

Download or read book Automating Knowledge Acquisition for Expert Systems written by Sandra Marcus and published by Springer Science & Business Media. This book was released on 2013-03-08 with total page 282 pages. Available in PDF, EPUB and Kindle. Book excerpt: In June of 1983, our expert systems research group at Carnegie Mellon University began to work actively on automating knowledge acquisition for expert systems. In the last five years, we have developed several tools under the pressure and influence of building expert systems for business and industry. These tools include the five described in chapters 2 through 6 - MORE, MOLE, SALT, KNACK and SIZZLE. One experiment, conducted jointly by developers at Digital Equipment Corporation, the Soar research group at Carnegie Mellon, and members of our group, explored automation of knowledge acquisition and code development for XCON (also known as R1), a production-level expert system for configuring DEC computer systems. This work influenced the development of RIME, a programming methodology developed at Digital which is the subject of chapter 7. This book describes the principles that guided our work, looks in detail at the design and operation of each tool or methodology, and reports some lessons learned from the enterprise. of the work, brought out in the introductory chapter, is A common theme that much power can be gained by understanding the roles that domain knowledge plays in problem solving. Each tool can exploit such an understanding because it focuses on a well defined problem-solving method used by the expert systems it builds. Each tool chapter describes the basic problem-solving method assumed by the tool and the leverage provided by committing to the method.

Systematic Introduction to Expert Systems

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Publisher : Springer Science & Business Media
ISBN 13 : 3642779719
Total Pages : 353 pages
Book Rating : 4.6/5 (427 download)

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Book Synopsis Systematic Introduction to Expert Systems by : Frank Puppe

Download or read book Systematic Introduction to Expert Systems written by Frank Puppe and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 353 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

The Knowledge Level in Expert Systems

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Publisher : Academic Press
ISBN 13 : 148325755X
Total Pages : 286 pages
Book Rating : 4.4/5 (832 download)

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Book Synopsis The Knowledge Level in Expert Systems by : Luc Steels

Download or read book The Knowledge Level in Expert Systems written by Luc Steels and published by Academic Press. This book was released on 2014-05-10 with total page 286 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Knowledge Level In Expert Systems: Conversations and Commentary deals with artificial intelligence, cognitive science, qualitative models, problem solving architectures, construction of knowledge bases, machine learning integration, knowledge sharing or reusability, and mapping problem-solving methods. The book tackles two opposing dogmas: first, that control is generic so is in the inference engine; and two, deep and surface knowledge are different so deep knowledge belongs in a performance system. The text also explains how to use SPARK, a selection method, in approaching the task features that can be used to select or construct the problem-solving method suitable for the task. An alternative method to SPARK starts with an analysis of the domain model and a classification using primitive inference steps. The book also adds that expert problem solving is a form of qualitative modeling that connects other expert systems and engineering. The text then describes very large knowledge bases, particularly, the volume of which knowledge bases can be integrated with expert systems, coherence maintenance, and use/neutral representation of knowledge. Task analysis and method selection focuses on SPARK; how theories about the relation between task features and expert system solutions can be empirically validated. The book also enumerates the benefits and limitations of a generic task approach, and how various modules with their specific internal architectures can be integrated. Programmers, computer engineers, computer technicians, and computer instructors dealing with many aspects of computers such as programming, networking, engineering or design will find the book highly useful.

Readings in Knowledge Acquisition and Learning

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Publisher : Morgan Kaufmann Publishers
ISBN 13 :
Total Pages : 926 pages
Book Rating : 4.3/5 (91 download)

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Book Synopsis Readings in Knowledge Acquisition and Learning by : Bruce G. Buchanan

Download or read book Readings in Knowledge Acquisition and Learning written by Bruce G. Buchanan and published by Morgan Kaufmann Publishers. This book was released on 1993 with total page 926 pages. Available in PDF, EPUB and Kindle. Book excerpt: Readings in Knowledge Acquisition and Learning collects the best of the artificial intelligence literature from the fields of machine learning and knowledge acquisition. This book brings together the perspectives on constructing knowledge-based systems from these two historically separate subfields of artificial intelligence.

Expert Systems

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Publisher : Chapman & Hall
ISBN 13 :
Total Pages : 256 pages
Book Rating : 4.3/5 (91 download)

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Book Synopsis Expert Systems by : Richard Forsyth

Download or read book Expert Systems written by Richard Forsyth and published by Chapman & Hall. This book was released on 1984 with total page 256 pages. Available in PDF, EPUB and Kindle. Book excerpt: Inference; Knowledge engineering; Learning; Machine learning strategies; Adaptative learning systems; Automating knowledge acquisition; The knowledge industry.

Expert Systems in Engineering Applications

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Publisher : Springer Science & Business Media
ISBN 13 : 3642840485
Total Pages : 391 pages
Book Rating : 4.6/5 (428 download)

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Book Synopsis Expert Systems in Engineering Applications by : Spyros Tzafestas

Download or read book Expert Systems in Engineering Applications written by Spyros Tzafestas and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 391 pages. Available in PDF, EPUB and Kindle. Book excerpt: Expert system technology is receiving increasing popularity and acceptance in the engineering community. This is due to the fact that there actually exists a close match between the capabilities of the current generation expert systems and the requirements of engineering practice. Prepared by a distinguished team of experts, this book provides a balanced state-of-the-art presentation of the design principles of engineering expert systems, and a representative picture of their capabilities to assist efficiently the design, diagnosis and operation of complex industrial plants. Among the application areas covered are the following: hardware synthesis, industrial plant layout design, fault diagnosis, process control, image analysis, computer communication, electric power systems, intelligent control, robotics, and manufacturing systems. The book is appropriate for the researcher and the professional. The researcher can save considerable time in searching the scattered technical information on engineering expert systems. The professional can have readily available a rich set of guidelines and techniques that are applicable to a wide class of engineering domains.

Managing Uncertainty in Expert Systems

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Publisher : Springer Science & Business Media
ISBN 13 : 146153982X
Total Pages : 242 pages
Book Rating : 4.4/5 (615 download)

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Book Synopsis Managing Uncertainty in Expert Systems by : Jerzy W. Grzymala-Busse

Download or read book Managing Uncertainty in Expert Systems written by Jerzy W. Grzymala-Busse and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 242 pages. Available in PDF, EPUB and Kindle. Book excerpt: 3. Textbook for a course in expert systems,if an emphasis is placed on Chapters 1 to 3 and on a selection of material from Chapters 4 to 7. There is also the option of using an additional commercially available sheU for a programming project. In assigning a programming project, the instructor may use any part of a great variety of books covering many subjects, such as car repair. Instructions for mostofthe "weekend mechanic" books are close stylisticaUy to expert system rules. Contents Chapter 1 gives an introduction to the subject matter; it briefly presents basic concepts, history, and some perspectives ofexpert systems. Then itpresents the architecture of an expert system and explains the stages of building an expert system. The concept of uncertainty in expert systems and the necessity of deal ing with the phenomenon are then presented. The chapter ends with the descrip tion of taxonomy ofexpert systems. Chapter 2 focuses on knowledge representation. Four basic ways to repre sent knowledge in expert systems are presented: first-order logic, production sys tems, semantic nets, and frames. Chapter 3 contains material about knowledge acquisition. Among machine learning techniques, a methodofrule learning from examples is explained in de tail. Then problems ofrule-base verification are discussed. In particular, both consistency and completeness oftherule base are presented.

Knowledge, Skill and Artificial Intelligence

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Publisher : Springer Science & Business Media
ISBN 13 : 1447116321
Total Pages : 199 pages
Book Rating : 4.4/5 (471 download)

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Book Synopsis Knowledge, Skill and Artificial Intelligence by : Bo Göranzon

Download or read book Knowledge, Skill and Artificial Intelligence written by Bo Göranzon and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 199 pages. Available in PDF, EPUB and Kindle. Book excerpt: Issues raised by the Theory of Knowledge, a central theme in the development of Artificial Intelligence, are the main topic of this book. The major questions are: How is the expert's knowledge to be elicited, what are the limits and possibilities? How can skill be developed and maintained in a more and more computerized and abstract working life? This last question is also closely related to the discussion on programs for education and training in society and working life. Long term effects on skill formation in working life in relation to new technology are a very important area of research. Case studies form the basis for philosophical reflections with the main concept of tacit knowledge as the central issue of skill and new technology. To a great extent the discussion is based on current case studies of professional groups with experience in advanced computer technology. The contributions of this book demonstrate the complicated nature of human knowledge. They introduce different theoretical perspectives on the issue of knowledge acquisition and elicitation.

Expertise Transfer for Expert System Design

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Publisher : Elsevier Publishing Company
ISBN 13 :
Total Pages : 328 pages
Book Rating : 4.3/5 (91 download)

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Book Synopsis Expertise Transfer for Expert System Design by : John H. Boose

Download or read book Expertise Transfer for Expert System Design written by John H. Boose and published by Elsevier Publishing Company. This book was released on 1986 with total page 328 pages. Available in PDF, EPUB and Kindle. Book excerpt:

A Guide to Expert Systems

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Publisher : Addison Wesley Publishing Company
ISBN 13 :
Total Pages : 456 pages
Book Rating : 4.:/5 (43 download)

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Book Synopsis A Guide to Expert Systems by : Donald Arthur Waterman

Download or read book A Guide to Expert Systems written by Donald Arthur Waterman and published by Addison Wesley Publishing Company. This book was released on 1986 with total page 456 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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!

An Introduction to Knowledge Engineering

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Publisher : Springer Science & Business Media
ISBN 13 : 1846286670
Total Pages : 294 pages
Book Rating : 4.8/5 (462 download)

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Book Synopsis An Introduction to Knowledge Engineering by : Simon Kendal

Download or read book An Introduction to Knowledge Engineering written by Simon Kendal and published by Springer Science & Business Media. This book was released on 2007-08-08 with total page 294 pages. Available in PDF, EPUB and Kindle. Book excerpt: An Introduction to Knowledge Engineering presents a simple but detailed exp- ration of current and established work in the ?eld of knowledge-based systems and related technologies. Its treatment of the increasing variety of such systems is designed to provide the reader with a substantial grounding in such techno- gies as expert systems, neural networks, genetic algorithms, case-based reasoning systems, data mining, intelligent agents and the associated techniques and meth- ologies. The material is reinforced by the inclusion of numerous activities that provide opportunities for the reader to engage in their own research and re?ection as they progress through the book. In addition, self-assessment questions allow the student to check their own understanding of the concepts covered. The book will be suitable for both undergraduate and postgraduate students in computing science and related disciplines such as knowledge engineering, arti?cial intelligence, intelligent systems, cognitive neuroscience, robotics and cybernetics. vii Contents Foreword vii 1 An Introduction to Knowledge Engineering. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1 Section 1: Data, Information and Knowledge . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2 Section 2: Skills of a Knowledge Engineer . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 10 Section 3: An Introduction to Knowledge-Based Systems. . . . . . . . . . . . . . . . . 18 2 Types of Knowledge-Based Systems . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 26 Section 1: Expert Systems. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 27 Section 2: Neural Networks. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 36 Section 3: Case-Based Reasoning. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 55 Section 4: Genetic Algorithms. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 66 Section 5: Intelligent Agents. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 74 Section 6: Data Mining . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 83 3 Knowledge Acquisition. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 89 4 Knowledge Representation and Reasoning . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 108 Section 1: Using Knowledge. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 109 Section 2: Logic, Rules and Representation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 116 Section 3: Developing Rule-Based Systems . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 126 Section 4: Semantic Networks. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .