Adaptive Learning and Risk Taking

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Bibliographic Details
Title: Adaptive Learning and Risk Taking
Language: English
Authors: Denrell, Jerker
Source: Psychological Review. Jan 2007 114(1):177-187.
Availability: American Psychological Association. Journals Department, 750 First Street NE, Washington, DC 20002-4242. Tel: 800-374-2721; Tel: 202-336-5510; Fax: 202-336-5502; e-mail: order@apa.org; Web site: http://www.apa.org/publications
Peer Reviewed: Y
Page Count: 11
Publication Date: 2007
Document Type: Journal Articles
Reports - Evaluative
Descriptors: Sampling, Decision Making, Risk, Models, Rewards, Influences, Learning Processes, Expectation
ISSN: 0033-295X
Abstract: Humans and animals learn from experience by reducing the probability of sampling alternatives with poor past outcomes. Using simulations, J. G. March (1996) illustrated how such adaptive sampling could lead to risk-averse as well as risk-seeking behavior. In this article, the author develops a formal theory of how adaptive sampling influences risk taking. He shows that a risk-neutral decision maker may learn to prefer a sure thing to an uncertain alternative with identical expected value and a symmetric distribution, even if the decision maker follows an optimal policy of learning. If the distribution of the uncertain alternative is negatively skewed, risk-seeking behavior can emerge. Consistent with recent experiments, the model implies that information about foregone payoffs increases risk taking.
Abstractor: Author
Entry Date: 2007
Access URL: https://content.apa.org/journals/rev/114/1/177
Accession Number: EJ752159
Database: ERIC
Description
Abstract:Humans and animals learn from experience by reducing the probability of sampling alternatives with poor past outcomes. Using simulations, J. G. March (1996) illustrated how such adaptive sampling could lead to risk-averse as well as risk-seeking behavior. In this article, the author develops a formal theory of how adaptive sampling influences risk taking. He shows that a risk-neutral decision maker may learn to prefer a sure thing to an uncertain alternative with identical expected value and a symmetric distribution, even if the decision maker follows an optimal policy of learning. If the distribution of the uncertain alternative is negatively skewed, risk-seeking behavior can emerge. Consistent with recent experiments, the model implies that information about foregone payoffs increases risk taking.
ISSN:0033-295X