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Neuroeconomic Studies on Personality...

Hawes, Daniel Rohan.

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Neuroeconomic Studies on Personality and Decision-Making.

Record Type:	Electronic resources : Monograph/item
Title/Author:	Neuroeconomic Studies on Personality and Decision-Making./
Author:	Hawes, Daniel Rohan.
Published:	Ann Arbor : ProQuest Dissertations & Theses, : 2013,
Description:	84 p.
Notes:	Source: Dissertation Abstracts International, Volume: 75-11(E), Section: A.
Contained By:	Dissertation Abstracts International75-11A(E).
Subject:	Economic theory. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3630610
ISBN:	9781321086416

Neuroeconomic Studies on Personality and Decision-Making.
Hawes, Daniel Rohan.

Neuroeconomic Studies on Personality and Decision-Making. - Ann Arbor : ProQuest Dissertations & Theses, 2013 - 84 p.

Source: Dissertation Abstracts International, Volume: 75-11(E), Section: A.

Thesis (Ph.D.)--University of Minnesota, 2013.

Neural activity causally underlies human cognition and behavior. Investigating the neurobiological principles and computational mechanisms governing brain activity during decision-making provides a way to improve theories of human behavior in the natural as well as social sciences (Glimcher & Rustichini 2004; Rustichini, 2009; Fehr & Rangel, 2009). In this context, the discipline of Neuroeconomics was originally conceived as an endeavor to interrogate neural activity during economic decision-making with the aim of evaluating competing decision theories (Rustichini, 2008; Glimcher, Camerer, Fehr & Poldrack 2009). From this origin, Neuroeconomics has evolved into a full-fledged enterprise of consilience; an attempt to not only test and bridge, but truly unify natural science and social science explanations of human behavior (Wilson, 1998; Glimcher & Rustichini, 2004; Rangel, Camerer & Montague, 2008).

ISBN: 9781321086416Subjects--Topical Terms:

1556984
Economic theory.

Neuroeconomic Studies on Personality and Decision-Making.
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100 1 $a Hawes, Daniel Rohan. $3 3347092
245 1 0 $a Neuroeconomic Studies on Personality and Decision-Making.
260 1 $a Ann Arbor : $b ProQuest Dissertations & Theses, $c 2013
300 $a 84 p.
500 $a Source: Dissertation Abstracts International, Volume: 75-11(E), Section: A.
500 $a Advisers: Aldo Rustichini; Terrance Hurley.
502 $a Thesis (Ph.D.)--University of Minnesota, 2013.
520 $a Neural activity causally underlies human cognition and behavior. Investigating the neurobiological principles and computational mechanisms governing brain activity during decision-making provides a way to improve theories of human behavior in the natural as well as social sciences (Glimcher & Rustichini 2004; Rustichini, 2009; Fehr & Rangel, 2009). In this context, the discipline of Neuroeconomics was originally conceived as an endeavor to interrogate neural activity during economic decision-making with the aim of evaluating competing decision theories (Rustichini, 2008; Glimcher, Camerer, Fehr & Poldrack 2009). From this origin, Neuroeconomics has evolved into a full-fledged enterprise of consilience; an attempt to not only test and bridge, but truly unify natural science and social science explanations of human behavior (Wilson, 1998; Glimcher & Rustichini, 2004; Rangel, Camerer & Montague, 2008).
520 $a This dissertation binds two neuroeconomic studies of decision-making with an introduction and concluding commentary. The introduction presents a brief introduction to Neuroeconomics, meant to locate both research studies in the existing literature and philosophy of this field. The conclusion provides a brief appraisal of the role of Neuroeconomics in further advancing the kind of research into decision-making reported here.
520 $a Both studies in this dissertation comprise investigations of human behavior during experience-based decision-making, with a special focus on the fundamental value computations that underlie such choice behavior.
520 $a Study 1 investigates the role of neural reinforcement signals during learning of a strategic decision task from experience.
520 $a Study 2 investigates the moderating effect of intelligence on neural reinforcement signals during a sequential binary choice task.
520 $a Study 1 is reproduced from (Hawes, Vostroknutov & Rustichini 2013), and study 2 is reproduced from (Hawes, DeYoung, Gray & Rustichini; under review).
590 $a School code: 0130.
650 4 $a Economic theory. $3 1556984
650 4 $a Cognitive psychology. $3 523881
650 4 $a Neurosciences. $3 588700
650 4 $a Personality psychology. $3 2144789
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690 $a 0625
710 2 $a University of Minnesota. $b Applied Economics. $3 1022383
773 0 $t Dissertation Abstracts International $g 75-11A(E).
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791 $a Ph.D.
792 $a 2013
793 $a English
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3630610