Neuroeconomic Studies on Personality and Decision-Making.
详细信息   
  • 作者:Hawes ; Daniel Rohan.
  • 学历:Doctor
  • 年:2013
  • 毕业院校:University of Minnesota
  • Department:Applied Economics.
  • ISBN:9781321086416
  • CBH:3630610
  • Country:USA
  • 语种:English
  • FileSize:3153933
  • Pages:85
文摘
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). 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. 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. Study 1 investigates the role of neural reinforcement signals during learning of a strategic decision task from experience. Study 2 investigates the moderating effect of intelligence on neural reinforcement signals during a sequential binary choice task. Study 1 is reproduced from Hawes,Vostroknutov & Rustichini 2013),and study 2 is reproduced from Hawes,DeYoung,Gray & Rustichini; under review).

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