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Decision Science: A Human-Oriented Perspective

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180pages
Temps de lecture
7heures

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Exploring decision-making through a neurological lens, this book contrasts traditional decision science with cutting-edge neural modeling. It introduces advanced computer models that accurately predict economic choices driven by intuition rather than deliberation. The author envisions a novel social science framework where neural models of emotion and cognition elucidate the complexities of socioeconomic systems and social networks. Written for both experts and advanced students, the text is grounded in the author's extensive background in decision science and computational neuroscience.

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Decision Science: A Human-Oriented Perspective, George Mengov

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Année de publication
2016
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