Decision Science: A Human-Oriented Perspective
Springer Berlin (Verlag)
978-3-662-50952-4 (ISBN)
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.
PART I: Subjective Utility.- PART II: Psychological Insights.- PART III: Intuition and Decisions.
| Erscheinungsdatum | 04.11.2016 |
|---|---|
| Reihe/Serie | Intelligent Systems Reference Library |
| Zusatzinfo | XVIII, 160 p. 33 illus. |
| Verlagsort | Berlin |
| Sprache | englisch |
| Maße | 155 x 235 mm |
| Themenwelt | Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik |
| Technik | |
| Wirtschaft ► Betriebswirtschaft / Management ► Unternehmensführung / Management | |
| Schlagworte | Artificial Intelligence • artificial intelligence (incl. robotics) • Computational Intelligence • Decision Making • decision science • Engineering • Engineering: general • Human Oriented Perspective on Decision Making • intelligent computing • Management Decision Making • Operational Research • Operation Research/Decision Theory • Robotics |
| ISBN-10 | 3-662-50952-0 / 3662509520 |
| ISBN-13 | 978-3-662-50952-4 / 9783662509524 |
| Zustand | Neuware |
| Informationen gemäß Produktsicherheitsverordnung (GPSR) | |
| Haben Sie eine Frage zum Produkt? |
aus dem Bereich
