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Engineering Intelligent Hybrid Multi-Agent Systems

  • Book
  • © 1997

Overview

Authors:
  1. Rajiv Khosla

    1. La Trobe University, Melbourne, Australia

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    You can also search for this author in PubMed   Google Scholar

  2. Tharam Dillon

    1. La Trobe University, Melbourne, Australia

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Table of contents (14 chapters)

  1. Front Matter

    Pages i-xxi
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  2. Why Intelligent Hybrid Systems

    • Rajiv Khosla, Tharam Dillon
    Pages 1-18

  3. Methodologies

    • Rajiv Khosla, Tharam Dillon
    Pages 19-58

  4. Intelligent Fusion and Transformation Systems

    • Rajiv Khosla, Tharam Dillon
    Pages 59-104

  5. Intelligent Combination Systems

    • Rajiv Khosla, Tharam Dillon
    Pages 105-142

  6. Knowledge Discovery, Data Mining and Hybrid Systems

    • Rajiv Khosla, Tharam Dillon
    Pages 143-177

  7. Association Systems — Task Structure Level Associative Hybrid Architecture

    • Rajiv Khosla, Tharam Dillon
    Pages 179-204

  8. Intelligent Multi-Agent Hybrid Computational Architecture — Part I

    • Rajiv Khosla, Tharam Dillon
    Pages 205-223

  9. Intelligent Multi-Agent Hybrid Computational Architecture — Part II

    • Rajiv Khosla, Tharam Dillon
    Pages 225-268

  10. Alarm Processing — An Application of IMAHDA

    • Rajiv Khosla, Tharam Dillon
    Pages 269-286

  11. Agent Oriented Analysis and Design of the RTAPS — Part I

    • Rajiv Khosla, Tharam Dillon
    Pages 287-309

  12. Agent Oriented Analysis and Design of the RTAPS — Part II

    • Rajiv Khosla, Tharam Dillon
    Pages 311-339

  13. RTAPS Implementation

    • Rajiv Khosla, Tharam Dillon
    Pages 341-365

  14. From Data Repositories to Knowledge Repositories

    • Rajiv Khosla, Tharam Dillon
    Pages 367-387

  15. IMAHDA Revisited

    • Rajiv Khosla, Tharam Dillon
    Pages 389-395

  16. Back Matter

    Pages 397-410
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Keywords

About this book

Engineering Intelligent Hybrid Multi-Agent Systems is about building intelligent hybrid systems. Included is coverage of applications and design concepts related to fusion systems, transformation systems and combination systems. These applications are in areas involving hybrid configurations of knowledge-based systems, case-based reasoning, fuzzy systems, artificial neural networks, genetic algorithms, and in knowledge discovery and data mining. Through examples and applications a synergy of these subjects is demonstrated.
The authors introduce a multi-agent architectural theory for engineering intelligent associative hybrid systems. The architectural theory is described at both the task structure level and the computational level. This problem-solving architecture is relevant for developing knowledge agents and information agents.
An enterprise-wide system modeling framework is outlined to facilitate forward and backward integration of systems developed in the knowledge, information, and data engineering layers of an organization. In the modeling process, software engineering aspects like agent oriented analysis, design and reuse are developed and described.
Engineering Intelligent Hybrid Multi-Agent Systems is the first book in the field to provide details of a multi-agent architecture for building intelligent hybrid systems.

Authors and Affiliations

  • La Trobe University, Melbourne, Australia

    Rajiv Khosla, Tharam Dillon

Bibliographic Information

  • Book Title: Engineering Intelligent Hybrid Multi-Agent Systems

  • Authors: Rajiv Khosla, Tharam Dillon

  • DOI: https://doi.org/10.1007/978-1-4615-6223-8

  • Publisher: Springer New York, NY

  • eBook Packages: Springer Book Archive

  • Copyright Information: Kluwer Academic Publishers 1997

  • Hardcover ISBN: 978-0-7923-9982-7Published: 30 September 1997

  • Softcover ISBN: 978-1-4613-7854-9Published: 26 November 2012

  • eBook ISBN: 978-1-4615-6223-8Published: 06 December 2012

  • Edition Number: 1

  • Number of Pages: XXI, 410

  • Topics: Artificial Intelligence, Systems Theory, Control, Software Engineering/Programming and Operating Systems

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