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The Effect of Incentives on Contributions from Model-based Learning Strategies: Individual Differences in Cognitive Traits and Neural Circuitry

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서명/저자사항The Effect of Incentives on Contributions from Model-based Learning Strategies: Individual Differences in Cognitive Traits and Neural Circuitry.
개인저자Zhong, Wanting.
단체저자명Northwestern University. Interdepartmental Neuroscience Program (NUIN).
발행사항[S.l.]: Northwestern University., 2019.
발행사항Ann Arbor: ProQuest Dissertations & Theses, 2019.
형태사항130 p.
기본자료 저록Dissertations Abstracts International 81-03A.
Dissertation Abstract International
ISBN9781085612975
학위논문주기Thesis (Ph.D.)--Northwestern University, 2019.
일반주기 Source: Dissertations Abstracts International, Volume: 81-03, Section: A.
Advisor: Grafman, Jordan.
이용제한사항This item must not be sold to any third party vendors.
요약Decision making is an essential and indispensable element in everyday life. It is posited that parallel, distinct systems subserving deliberative, goal-directed control and automatic, habitual control underlie decision making. Computational accounts suggest that model-based and model-free learning strategies give rise to these two systems respectively. The model-based system is a prospective system that is capable of forming an internal model of the states and transitions in the environment and utilizes this internal model to direct future actions. In contrast, the model-free system is a retrospective system that learns action values through trial-and-error interactions with the environment
일반주제명Neurosciences.
Physiology.
Educational psychology.
Public health.
Experimental psychology.
Health sciences.
Psychobiology.
Behavioral psychology.
Cognitive psychology.
언어영어
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