Intelligent Decision Making

An AI-Based Approach

By: Gloria Phillips-Wren (Editor), Nikhil Ichalkaranje (Editor)

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Hardcover | 4 March 2008

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Hardcover
428 Pages

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23.39 x 15.6 x 2.39

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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.

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Dedication	p. V
Preface	p. VII
Foreword	p. IX
Background: Human Decision Making
Understanding Human Decision Making - A Fundamental Step Towards Effective Intelligent Decision Support	p. 3
Cognitive Elements of Human Decision Making	p. 41
Methods: Computational Intelligence
Introduction to Computational Intelligence for Decision Making	p. 79
Collaborative Decision Making Amongst Human and Artificial Beings	p. 97
Decision Analysis with Fuzzy Targets	p. 135
An Approximation Kuhn-Tucker Approach for Fuzzy Linear Bilevel Decision Making	p. 157
A Replanning Support for Critical Decision Making Situations: A Modelling Approach	p. 173
A Unifying Multimodel Taxonomy and Agent-Supported Multisimulation Strategy for Decision-Support	p. 193
Applications: Intelligent Decision Support
A Consensus Support System for Group Decision Making Problems with Heterogeneous Information	p. 229
Evaluating Medical Decision Making Heuristics and Other Business Heuristics with Neural Networks	p. 259
Building Intelligent Sensor Networks with Multiagent Graphical Models	p. 289
An Intelligent Export Systems' Approach to Layout Decision Analysis and Design under Uncertainty	p. 321
Using Self Organising Feature Maps to Unravel Process Complexity in a Hospital Emergency Department: A Decision Support Perspective	p. 365
Future Directions: Building a Decision Making Framework Using Agent Teams	p. 387
Table of Contents provided by Publisher. All Rights Reserved.

Intelligent Decision Making

An AI-Based Approach

At a Glance

Hardcover

Shipping

How to return your order

Defective items

You Can Find This Book In

Other Editions and Formats

Paperback

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