Expert Systems

Expert Systems

The Technology of Knowledge Management and Decision Making for the 21st Century

1st Edition - August 30, 2001

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  • Editor: Cornelius Leondes
  • eBook ISBN: 9780080531458

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This six-volume set presents cutting-edge advances and applications of expert systems. Because expert systems combine the expertise of engineers, computer scientists, and computer programmers, each group will benefit from buying this important reference work. An "expert system" is a knowledge-based computer system that emulates the decision-making ability of a human expert. The primary role of the expert system is to perform appropriate functions under the close supervision of the human, whose work is supported by that expert system. In the reverse, this same expert system can monitor and double check the human in the performance of a task. Human-computer interaction in our highly complex world requires the development of a wide array of expert systems.

Key Features

  • Expert systems techniques and applications are presented for a diverse array of topics including
  • Experimental design and decision support
  • The integration of machine learning with knowledge acquisition for the design of expert systems
  • Process planning in design and manufacturing systems and process control applications
  • Knowledge discovery in large-scale knowledge bases
  • Robotic systems
  • Geograhphic information systems
  • Image analysis, recognition and interpretation
  • Cellular automata methods for pattern recognition
  • Real-time fault tolerant control systems
  • CAD-based vision systems in pattern matching processes
  • Financial systems
  • Agricultural applications
  • Medical diagnosis


Students, researchers, and practitioners in computer science and engineering, as well as in the various applications areas such as economics, medicine, manufacturing, and agriculture

Table of Contents

  • VOLUME 1
    History and Applications
    Tools and Applications
    Development and Applications of Decision Trees
    Reasoning with Imperfect Information
    Experimental Design and Decision Support
    A Model-Based Expert System Based on a Domain Ontology
    Intelligent System Control: A Unified Approach and Applications
    Real Time Fault-Tolerant Control Systems

    VOLUME 2:
    Model of Reasoning with Conflicting Information Sources in Knowledge-Based Systems
    Process Planning in Design and Manufacturing Systems
    Intelligent Systems Techniques and Their Applications in Manufacturing Systems
    Architecture, Engineering and Construction (AEC) Design
    Neural Networks for Process Control Application to the Temperature Control of Batch Chemical Reactors
    Intelligent Tools and Their Applications in Geographic Information Systems
    Microprocessor Systems
    Scheduling Systems for Shipbuilding

    VOLUME 3
    Genetic Image Interpretation
    Automated Visual Assembly Inspection
    Multiresolution Invariant Image Recognition
    Image Processing for Automatic Roads Determination
    Automated Visual Inspection Systems
    Visual Programming Technology in Expert Systems Development
    CAD-Based Vision Systems in Pattern Matching Process
    Cellular Automata Architectures for Pattern Recognition
    Machine Intelligent Systems Techniques for Automatic Harvest System
    Integrating Machine Learning with Knowledge Acquisition
    Modeling Human Reasoning Processes Under Uncertain Conditions

    VOLUME 4
    Devising an Expert System for Pediatric Syndrome Diagnosis
    Knowledge Discovery in Larger Scale Knowledge Databases
    Efficient Data Utilization
    Investment Decision Making
    Intelligent Systems Control in Manufacturing Cells
    Knowledge-Based Approach for Automating Web Publishing from Databases
    Neural Networks for Economic Forecasting Problems
    Determination of Principal Components in Data
    Time Series Prediction

    VOLUME 5
    Hybrid Expert Systems: An Approach to Combining Neural Computation and Rule-Based Reasoning
    POPFNNS: Fuzzy Neural Techniques for Rule-Based Identification in Expert Systems
    Preventive Quality Management
    Neuro-Fuzzy Systems
    Knowledge Representation by Means of Multi-Layer Perceptrons
    A Guide to Research in Assumption-Based Truth Maintenance Systems (ATMS) in Constraint Satisfaction
    A Method for Utilization of Previous Experience in Designing Expert Systems
    Model-Based Process Fault Diagnosis

    VOLUME 6
    Automation of Concept Development
    A Methodology for Building Case-Based Reasoning Systems in Ill-Structured Optimization Domains
    The Trainor System: Applying QR Techniques to Intelligent Tutoring Systems
    Structuring Expert Control Using the Integrated Process Supervision Architecture
    TAP: An Inquiry Teaching Shell Using both Rule-Based and State-Space Approaches
    Self Teaching and Exploratory Task-Learning Methods in Unkown Environments and Applications in Robotic Skills

Product details

  • No. of pages: 1947
  • Language: English
  • Copyright: © Academic Press 2001
  • Published: August 30, 2001
  • Imprint: Academic Press
  • eBook ISBN: 9780080531458

About the Editor

Cornelius Leondes

Cornelius T. Leondes received his B.S., M.S., and Ph.D. from the University of Pennsylvania and has held numerous positions in industrial and academic institutions. He is currently a Professor Emeritus at the University of California, Los Angeles. He has also served as the Boeing Professor at the University of Washington and as an adjunct professor at the University of California, San Diego. He is the author, editor, or co-author of more than 100 textbooks and handbooks and has published more than 200 technical papers. In addition, he has been a Guggenheim Fellow, Fulbright Research Scholar, IEEE Fellow, and a recipient of IEEE's Baker Prize Award and Barry Carlton Award.

Affiliations and Expertise

University of California, Los Angeles, U.S.A.

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