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Risk assessment in mice and men
Descriptive
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Title
Risk assessment in mice and men
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Balci
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Fuat
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Fuat Balci
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author
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Gallistel
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Charles
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Advisory Committee
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Charles R Gallistel
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chair
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Feldman
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Jacob
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Advisory Committee
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Jacob Feldman
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internal member
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Singh
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Manish
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Advisory Committee
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Manish Singh
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internal member
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Littman
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Michael
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Advisory Committee
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Michael L Littman
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Rutgers University
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Graduate School - New Brunswick
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theses
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2007
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2007
Language
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English
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electronic
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application/pdf
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xi, 158 pages
Abstract
Uncertainty is a ubiquitous property of both physical and mental realms. Goal-directed actions that take place under these conditions thus probabilistically predict their consequences. Traditional decision-making research has shown that particularly humans are non-normative decision-makers under uncertainty. On the other hand, considering the cognitive system as an output of evolutionary history, it is not unlikely that it models the uncertainties that partly determine the consequences of its actions. It is also natural to assume that the same system uses these models of uncertainty originating from multiple stochastic processes along with its metric representation of the consequences in planning its actions. Indeed, more recent research has shown closer to optimal performance in decision-making tasks in which the uncertainty was experienced and/or originated from the sensori-motor system. In this research, we investigated this very process in the context of temporal decision-making in both human and mice subjects. We further used this experimental context to answer the essential questions regarding the functional architecture of mind. This questioning specifically targeted the degree of representational and computational power needed to account for decision-making under uncertainty. In order to answer this question, we conducted computer simulations providing different degrees of representational substitution/power and compared their outputs to the empirical data. We conclude that both human and mice are optimal decision-makers under uncertainty that originates from extrinsic and intrinsic (mental) stochastic processes and observed performance can be better explained by information-processing rather than associative frameworks of mind.
Note
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Ph.D.
Note
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Includes bibliographical references (p. 153-157).
Subject
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Topic
Psychology
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Topic
Decision making
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Topic
Choice (Psychology)
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Topic
Risk assessment
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Graduate School - New Brunswick Electronic Theses and Dissertations
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rucore19991600001
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http://hdl.rutgers.edu/1782.2/rucore10001600001.ETD.15784
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ETD_399
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NjNbRU
Identifier
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doi:10.7282/T3Z3203X
Genre
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ETD doctoral
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Rights
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The author owns the copyright to this work.
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Copyright protected
Availability
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Open
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FUAT BALCI
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Rutgers University. Graduate School - New Brunswick
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Non-exclusive ETD license
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Author Agreement License
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I hereby grant to the Rutgers University Libraries and to my school the non-exclusive right to archive, reproduce and distribute my thesis or dissertation, in whole or in part, and/or my abstract, in whole or in part, in and from an electronic format, subject to the release date subsequently stipulated in this submittal form and approved by my school. I represent and stipulate that the thesis or dissertation and its abstract are my original work, that they do not infringe or violate any rights of others, and that I make these grants as the sole owner of the rights to my thesis or dissertation and its abstract. I represent that I have obtained written permissions, when necessary, from the owner(s) of each third party copyrighted matter to be included in my thesis or dissertation and will supply copies of such upon request by my school. I acknowledge that RU ETD and my school will not distribute my thesis or dissertation or its abstract if, in their reasonable judgment, they believe all such rights have not been secured. I acknowledge that I retain ownership rights to the copyright of my work. I also retain the right to use all or part of this thesis or dissertation in future works, such as articles or books.
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