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Expert System Applications

  • Book
  • © 1988

Overview

Editors:
  1. Leonard Bolc

    1. Institute of Computer Science, Polish Academy of Sciences, Warsaw, Poland

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  2. Michael J. Coombs

    1. Computing Research Laboratory, New Mexico State University, Las Cruces, USA

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    You can also search for this editor in PubMed   Google Scholar

Part of the book series: Symbolic Computation (SYMBOLIC)

Part of the book sub series: Artificial Intelligence (1064)

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Table of contents (8 chapters)

  1. Front Matter

    Pages I-IX
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  2. Representing Control Knowledge as Abstract Tasks and Metarules

    • William J. Clancey, Conrad Bock
    Pages 1-77

  3. Controlling Expert Systems

    • Ron Sauers
    Pages 79-197

  4. A Quantitative Approach to Approximate Reasoning in Rule-based Expert Systems

    • Henri Prade
    Pages 199-256

  5. Structural Analysis of Electronic Circuits in a Deductive System

    • Takushi Tanaka
    Pages 257-308

  6. Building Expert Systems Based on Simulation Models: An Essay in Methodology

    • José Cuena
    Pages 309-359

  7. An Approach to Designing an Expert System Through Knowledge Organization

    • Jue Wang
    Pages 361-393

  8. Garden Path Errors in Diagnostic Reasoning

    • Paul E. Johnson, James B. Moen, William B. Thompson
    Pages 395-427

  9. Knowledge Organization and Its Role in Temporal and Causal Signal Understanding: The ALVEN and CAA Projects

    • John K. Tsotsos, Tetsutaro Shibahara
    Pages 429-468

  10. Back Matter

    Pages 469-471
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Keywords

About this book

While expert systems technology originated in the United States, its development has become an international concern. Since the start of the DENDRAL project at Stanford University over 15 years ago, with its objective of problem-solving via the automation of actual human expert knowledge, significant expert systems projects have been completed in countries rang­ ing from Japan to France, Spain to China. This book presents a sample of five such projects, along with four substantial reports of mature studies from North American researchers. Two important issues of expert system design permeate the papers in this volume. The first concerns the incorporation of substantial numeric knowledge into a system. This has become a significant focus of work as researchers have sought to apply expert systems tech­ nology to complex, real-world domains already subject to statistical or algebraic description (and handled well at some level in numeric terms). A second prominent issue is that of representing control knowledge in a manner which is both explicit, and thus available for inspection, and compatible with the semantics of the problem domain.

Editors and Affiliations

  • Institute of Computer Science, Polish Academy of Sciences, Warsaw, Poland

    Leonard Bolc

  • Computing Research Laboratory, New Mexico State University, Las Cruces, USA

    Michael J. Coombs

Bibliographic Information

  • Book Title: Expert System Applications

  • Editors: Leonard Bolc, Michael J. Coombs

  • Series Title: Symbolic Computation

  • DOI: https://doi.org/10.1007/978-3-642-83314-4

  • Publisher: Springer Berlin, Heidelberg

  • eBook Packages: Springer Book Archive

  • Copyright Information: Springer-Verlag Berlin Heidelberg 1988

  • Softcover ISBN: 978-3-642-83316-8Published: 08 December 2011

  • eBook ISBN: 978-3-642-83314-4Published: 06 December 2012

  • Edition Number: 1

  • Number of Pages: IX, 471

  • Topics: Artificial Intelligence

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