- Latest research on Decision Making
- Presents a Human Oriented Perspective on Decision Making
- Written by a leading expert in the field
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- About this book
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This book offers a new perspective on human decision-making by comparing the established methods in decision science with innovative modelling at the level of neurons and neural interactions. The book presents a new generation of computer models, which can predict with astonishing accuracy individual economic choices when people make them by quick intuition rather than by effort. A vision for a new kind of social science is outlined, whereby neural models of emotion and cognition capture the dynamics of socioeconomic systems and virtual social networks. The exposition is approachable by experts as well as by advanced students. The author is an Associate Professor of Decision Science with a doctorate in Computational Neuroscience, and a former software consultant to banks in the City of London.
- Table of contents (7 chapters)
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Levels of Decision Analysis
Pages 3-20
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Utility and Rationality
Pages 21-52
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Prospect Theory—A Milestone
Pages 55-71
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Intuitive Judgements
Pages 73-88
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The Decision Maker’s Neural Apparatus
Pages 91-117
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Table of contents (7 chapters)
- Download Preface 1 PDF (60.7 KB)
- Download Sample pages 2 PDF (350.7 KB)
- Download Table of contents PDF (96.4 KB)
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Bibliographic Information
- Bibliographic Information
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- Book Title
- Decision Science: A Human-Oriented Perspective
- Authors
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- George Mengov
- Series Title
- Intelligent Systems Reference Library
- Series Volume
- 89
- Copyright
- 2015
- Publisher
- Springer-Verlag Berlin Heidelberg
- Copyright Holder
- Springer-Verlag Berlin Heidelberg
- eBook ISBN
- 978-3-662-47122-7
- DOI
- 10.1007/978-3-662-47122-7
- Hardcover ISBN
- 978-3-662-47121-0
- Softcover ISBN
- 978-3-662-50952-4
- Series ISSN
- 1868-4394
- Edition Number
- 1
- Number of Pages
- XVIII, 160
- Number of Illustrations
- 33 b/w illustrations
- Topics
