Expert systems for experts

Bibliographic Information

Expert systems for experts

Kamran Parsaye, Mark Chignell

Wiley, c1988

  • :pbk

Available at  / 17 libraries

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Note

Bibliography: p. 423-455

Includes index

Description and Table of Contents

Volume

ISBN 9780471601753

Description

Written in an easy-to-read style, this introduction to the design of expert systems offers practical examples for each new topic presented. Less emphasis is placed on the intracacies of programming language, more on explanation. The book defines what expert systems are, and discusses knowledge representation and inference. Chapters also cover logic, two-valued inference, inexact and semi-exact reasoning, advanced tools and topics, and draw on studies of human cognition to motivate technical definitions. Each chapter has an introduction and a summary, and provides suggestions for further reading. Student projects are also included.

Table of Contents

  • Background on Expert Systems
  • A First Glance at Expert Systems
  • Logic
  • Knowledge
  • Knowledge Representation with Frames
  • Uncertainty
  • The Inference Process
  • Building Expert Systems
  • Knowledge Acquisition and Validation
  • Summary
  • Appendix A: Search
  • Appendix B: General-Purpose Reasoning
  • Appendix C: Propositional Logic
  • Appendix D: Relational Databases.
Volume

:pbk ISBN 9780471607212

Description

Written in an easy-to-read style, this introduction to the design of expert systems offers practical examples for each new topic presented. Less emphasis is placed on the intricacies of programming language, more on explanation. The book defines what expert systems are, and discusses knowledge representation and inference. Chapters also cover logic, two-valued inference, inexact and semi-exact reasoning, advanced tools and topics, and draw on studies of human cognition to motivate technical definitions. Each chapter has an introduction and a summary, and provides suggestions for further reading. Student projects are also included.

Table of Contents

  • Background on Expert Systems
  • A First Glance at Expert Systems
  • Logic
  • Knowledge
  • Knowledge Representation with Frames
  • Uncertainty
  • The Inference Process
  • Building Expert Systems
  • Knowledge Acquisition and Validation
  • Summary
  • Appendix A: Search
  • Appendix B: General-Purpose Reasoning
  • Appendix C: Propositional Logic
  • Appendix D: Relational Databases.

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