© 2015

Decision Science: A Human-Oriented Perspective


Part of the Intelligent Systems Reference Library book series (ISRL, volume 89)

Table of contents

  1. Front Matter
    Pages i-xviii
  2. Subjective Utility

    1. Front Matter
      Pages 1-1
    2. George Mengov
      Pages 3-20
    3. George Mengov
      Pages 21-52
  3. Psychological Insights

    1. Front Matter
      Pages 53-53
    2. George Mengov
      Pages 55-71
    3. George Mengov
      Pages 73-88
  4. Intuition and Decisions

    1. Front Matter
      Pages 89-89
    2. George Mengov
      Pages 91-117
    3. George Mengov
      Pages 119-147
    4. George Mengov
      Pages 149-156
  5. Back Matter
    Pages 157-160

About this book


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.



Computational Intelligence Decision Making Decision Science Human Oriented Perspective on Decision Making Intelligent Computing

Authors and affiliations

  1. 1.Faculty of Economics and Business AdministrationSofia University St. Kliment OhridskiSofiaBulgaria

Bibliographic information

  • Book Title Decision Science: A Human-Oriented Perspective
  • Authors George Mengov
  • Series Title Intelligent Systems Reference Library
  • Series Abbreviated Title Intel.Syst.Ref.Library
  • DOI
  • Copyright Information Springer-Verlag Berlin Heidelberg 2015
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Engineering Engineering (R0)
  • Hardcover ISBN 978-3-662-47121-0
  • Softcover ISBN 978-3-662-50952-4
  • eBook ISBN 978-3-662-47122-7
  • Series ISSN 1868-4394
  • Series E-ISSN 1868-4408
  • Edition Number 1
  • Number of Pages XVIII, 160
  • Number of Illustrations 33 b/w illustrations, 0 illustrations in colour
  • Topics Computational Intelligence
    Artificial Intelligence
    Operations Research/Decision Theory
  • Buy this book on publisher's site
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