Decision Science: A Human-Oriented Perspective
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 individua...
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| 第一著者: | |
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| フォーマット: | 図書 |
| 言語: | English |
| 出版事項: |
Springer
2015
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| 主題: | |
| オンライン･アクセス: | https://scholar.dlu.edu.vn/thuvienso/handle/DLU123456789/58390 |
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| Thư viện lưu trữ: | Thư viện Trường Đại học Đà Lạt |
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| 要約: | 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. |
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