Editors:
- 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)
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Front Matter
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Methods: Computational Intelligence
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Applications: Intelligent Decision Support
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Back Matter
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
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Loyola College in Maryland, Baltimore, USA
Gloria Phillips-Wren
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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