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Research and Development in Expert Systems IX

$131.00 ( ) USD

Part of British Computer Society Conference Series

  • Date Published: May 2012
  • availability: This ISBN is for an eBook version which is distributed on our behalf by a third party.
  • format: Adobe eBook Reader
  • isbn: 9781139243216

$ 131.00 USD ( )
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About the Authors
  • This volume contains the refereed and invited papers presented at Expert Systems 92. The papers included in this volume cover advances in a number of important areas, notably methodology, knowledge acquisition, knowledge-based systems techniques, machine learning, and knowledge representation and reasoning. Together with its predecessors this is essential reading for those who wish to keep up to date with developments and opportunities in this important field.

    • State-of-the-art conference proceedings
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    Product details

    • Date Published: May 2012
    • format: Adobe eBook Reader
    • isbn: 9781139243216
    • availability: This ISBN is for an eBook version which is distributed on our behalf by a third party.
  • Table of Contents

    1. Consultant: providing advice for the machine learning toolbox
    2. A method model for the integration of KBS and conventional information technology
    3. KBS methodology as a framework for co-operative working
    4. Project management for the evolutionary development of expert systems
    5. The specification and development of rule based expert systems
    6. Towards a method for multi-agent system design
    7. Jigsaw: configuring knowledge acquisition tools
    8. On the relationship between repertory grid and term subsumption knowledge structures: theory practice tools
    9. Strategy maze: an on-line tool for support management of knowledge acquisition process
    10. Concurrent engineering using truth maintenance systems
    11. Ockham's razor as a gardening tool
    12. A designer's consultant
    13. Fairness of attribute selection in probabilistic induction
    14. An application of case-based expert system technology to dynamic job-shop scheduling
    15. Neural network design via LP
    16. KEshell2: an intelligent learning database system
    17. Approaches to self-explanation and system visibility in the context of application tasks
    18. An object oriented approach to distributed problem solving
    19. Intelligent user interface for multiple application systems
    20. Combining qualitative and quantitative information for temporal reasoning.

  • Authors

    M. A. Bramer, University of Portsmouth

    R. W. Milne

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