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Intelligent Decision Making: An AI-Based Approach

  • Book
  • © 2008

Overview

Editors:
  1. Gloria Phillips-Wren

    1. Loyola College in Maryland, Baltimore, USA

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  2. Nikhil Ichalkaranje

    1. University of South Australia, Australia

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    You can also search for this editor in PubMed   Google Scholar

  3. Lakhmi C. Jain

    1. University of South Australia, Australia

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  • Contains the latest research of the application of computational intelligence techniques in decision support systems under uncertainty
  • Includes supplementary material: sn.pub/extras

Part of the book series: Studies in Computational Intelligence (SCI, volume 97)

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Table of contents (14 chapters)

  1. Front Matter

    Pages i-xiv
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  2. Background: Human Decision Making

    1. Understanding Human Decision Making – A Fundamental Step Towards Effective Intelligent Decision Support

      • Jean-Charles Pomerol, Frederic Adam
      Pages 3-40

    2. Cognitive Elements of Human Decision Making

      • Jens Pohl
      Pages 41-76

  3. Methods: Computational Intelligence

    1. Introduction to Computational Intelligence for Decision Making

      • Witold Pedrycz, Nikhil Ichalkaranje, Gloria Phillips-Wren, Lakhmi C. Jain
      Pages 79-96

    2. Collaborative Decision Making Amongst Human and Artificial Beings

      • Daniel I. Thomas, Ljubo B. Vlacic
      Pages 97-133

    3. Decision Analysis with Fuzzy Targets

      • Van-Nam Huynh, Yoshiteru Nakamori, Tetsuya Murai
      Pages 135-155

    4. An Approximation Kuhn–Tucker Approach for Fuzzy Linear Bilevel Decision Making

      • Guangquan Zhang, Jie Lu, Tharam Dillon
      Pages 157-171

    5. A Replanning Support for Critical Decision Making Situations: A Modelling Approach

      • Guy Camilleri, Jean-Luc Soubie, Pascale Zarate
      Pages 173-192

    6. A Unifying Multimodel Taxonomy and Agent-Supported Multisimulation Strategy for Decision-Support

      • Levent Yilmaz, Andreas Tolk
      Pages 193-226

  4. Applications: Intelligent Decision Support

    1. A Consensus Support System for Group Decision Making Problems with Heterogeneous Information

      • F. Mata, L. Martínez, E. Herrera-Viedma
      Pages 229-257

    2. Evaluating Medical Decision Making Heuristics and Other Business Heuristics with Neural Networks

      • Steven Walczak
      Pages 259-287

    3. Building Intelligent Sensor Networks with Multiagent Graphical Models

      • Yang Xiang
      Pages 289-320

    4. An Intelligent Expert Systems' Approach to Layout Decision Analysis and Design under Uncertainty

      • Abdul-Rahim Ahmad, Otman Basir, Khaled Hassanein, Shahid Azam
      Pages 321-364

    5. Using Self Organising Feature Maps to Unravel Process Complexity in a Hospital Emergency Department: A Decision Support Perspective

      • A. Ceglowski, L. Churilov
      Pages 365-385

    6. Future Directions: Building a Decision Making Framework Using Agent Teams

      • Jeffrey Tweedale, Christos Sioutis, Gloria Phillips-Wren, Nikhil Ichalkaranje, Pierre Urlings, Lakhmi C. Jain
      Pages 387-408

  5. Back Matter

    Pages 409-410
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Keywords

About this book

Intelligent Decision Support Systems have the potential to transform human decision making by combining research in artificial intelligence, information technology, and systems engineering. The field of intelligent decision making is expanding rapidly due, in part, to advances in artificial intelligence and network-centric environments that can deliver the technology.  Communication and coordination between dispersed systems can deliver just-in-time information, real-time processing, collaborative environments, and globally up-to-date information to a human decision maker.  At the same time, artificial intelligence techniques have demonstrated that they have matured sufficiently to provide computational assistance to humans in practical applications.  This book includes contributions from leading researchers in the field beginning with the foundations of human decision making and the complexity of the human cognitive system. Researchers contrast human and artificial intelligence, survey computational intelligence, present pragmatic systems, and discuss future trends. This book will be an invaluable resource to anyone interested in the current state of knowledge and key research gaps in the rapidly developing field of intelligent decision support.

Editors and Affiliations

  • Loyola College in Maryland, Baltimore, USA

    Gloria Phillips-Wren

  • University of South Australia, Australia

    Nikhil Ichalkaranje, Lakhmi C. Jain

Bibliographic Information

  • Book Title: Intelligent Decision Making: An AI-Based Approach

  • Editors: Gloria Phillips-Wren, Nikhil Ichalkaranje, Lakhmi C. Jain

  • Series Title: Studies in Computational Intelligence

  • DOI: https://doi.org/10.1007/978-3-540-76829-6

  • Publisher: Springer Berlin, Heidelberg

  • eBook Packages: Engineering, Engineering (R0)

  • Copyright Information: Springer-Verlag Berlin Heidelberg 2008

  • Hardcover ISBN: 978-3-540-76828-9Published: 04 March 2008

  • Softcover ISBN: 978-3-642-09553-5Published: 20 November 2010

  • eBook ISBN: 978-3-540-76829-6Published: 27 February 2008

  • Series ISSN: 1860-949X

  • Series E-ISSN: 1860-9503

  • Edition Number: 1

  • Number of Pages: XIV, 410

  • Topics: Mathematical and Computational Engineering, Artificial Intelligence

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