A dynamic model of dissonance reduction in a modular mind

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dc.citation.epage32en_US
dc.citation.issueNumber1en_US
dc.citation.spage15en_US
dc.citation.volumeNumber7en_US
dc.contributor.authorKaragözoǧlu, E.en_US
dc.date.accessioned2016-02-08T11:01:28Z
dc.date.available2016-02-08T11:01:28Z
dc.date.issued2014en_US
dc.departmentDepartment of Economicsen_US
dc.description.abstractThis article establishes an economic framework to identify the conditions under which an optimizing agent may seek (or not seek) to engage in costly dissonance reduction. We set up a dynamic model of decision-making in which the individual's mind is composed of a coordinating principal and 2 conflicting agents. We take into account the cognitive dissonance experienced as a result of the conflict between the agents. Each agent (or self) is specialized in perceiving a particular type of signal and performing a task. Dissonance levels in our model are not constant. Instead, the individual's splitselves are open to habituation, which can lead to a reduction in cognitive dissonance. Therefore, motivated habituation appears as a way to avoid dissonance. We prove the existence of an optimal strategy with a threshold structure. Our results show that the existence of intrapersonal conflict may be a long run phenomenon even in an optimizing mind.en_US
dc.description.provenanceMade available in DSpace on 2016-02-08T11:01:28Z (GMT). No. of bitstreams: 1 bilkent-research-paper.pdf: 70227 bytes, checksum: 26e812c6f5156f83f0e77b261a471b5a (MD5) Previous issue date: 2014en
dc.identifier.doi10.1037/npe0000017en_US
dc.identifier.issn1937-321X
dc.identifier.urihttp://hdl.handle.net/11693/26554
dc.language.isoEnglishen_US
dc.publisherAmerican Psychological Associationen_US
dc.relation.isversionofhttp://dx.doi.org/10.1037/npe0000017en_US
dc.source.titleJournal of Neuroscience, Psychology, and Economicsen_US
dc.subjectAction-based theoryen_US
dc.subjectCognitive dissonanceen_US
dc.subjectHabituationen_US
dc.subjectMind hierarchyen_US
dc.subjectModularity of minden_US
dc.subjectStochastic dynamic programmingen_US
dc.subjectStroop testen_US
dc.titleA dynamic model of dissonance reduction in a modular minden_US
dc.typeArticleen_US

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