Title:
Temporal oscillations in preference strength provide evidence for a quantum-Markov open system model of preference evolution

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dc.contributor.author Busemeyer, Jerome R.
dc.contributor.corporatename Georgia Institute of Technology. School of Psychology en_US
dc.contributor.corporatename Indiana University. Dept. of Psychological and Brain Sciences en_US
dc.date.accessioned 2020-11-10T21:25:56Z
dc.date.available 2020-11-10T21:25:56Z
dc.date.issued 2020-11-05
dc.description Presented online on November 5, 2020 at 11:00 a.m. en_US
dc.description Jerome Busemeyer is a Distinguished Professor and Provost Professor in the Department of Psychological and Brain Sciences at Indiana University. His research interests include mathematical models of human judgment and decision making behavior. en_US
dc.description Runtime: 58:47 minutes en_US
dc.description.abstract We examined how preferences evolve across time in two new experiments, one using choices between restaurants and a second using choices between gambles. In both we observed that mean preference strength systematically oscillated over time and found that eliciting a choice early in time strongly affected the pattern of preference oscillation later in time. Preferences following choices oscillated between being stronger than those without prior choice and being weaker than those without choice. Markov processes, such as random walk models, have been successfully used by cognitive and neural scientists to model human choice behavior and decision time for over 50 years. Recently, quantum walk models have been introduced as an alternative way to model the dynamics of human choice and confidence across time. Our new findings point to the need for both types of processes, and what are called “open system” models provide a way to incorporate them both into a single process. The open system model incorporates two sources of uncertainty: epistemic uncertainty about what preference state a decision maker has at a particular point in time; and ontic uncertainty about what decision or judgment will be observed when a person has some preference state. Representing these two sources of uncertainty allows the model to account for the oscillations in preference as well as the effect of choice on preference formation. en_US
dc.format.extent 58:47 minutes
dc.identifier.uri http://hdl.handle.net/1853/63905
dc.language.iso en_US en_US
dc.relation.ispartofseries Psychology Colloquium
dc.subject Decision making en_US
dc.subject Evidence accumulation en_US
dc.subject Markov dynamics en_US
dc.subject Preference evolution en_US
dc.subject Quantum dynamics en_US
dc.subject Sequential sampling en_US
dc.title Temporal oscillations in preference strength provide evidence for a quantum-Markov open system model of preference evolution en_US
dc.type Moving Image
dc.type.genre Lecture
dspace.entity.type Publication
local.contributor.corporatename College of Sciences
local.contributor.corporatename School of Psychology
local.relation.ispartofseries School of Psychology Colloquiua
relation.isOrgUnitOfPublication 85042be6-2d68-4e07-b384-e1f908fae48a
relation.isOrgUnitOfPublication 768a3cd1-8d73-4d47-b418-0fc859ce897d
relation.isSeriesOfPublication da9098fa-29c9-4bda-a0d0-bb2f2a5f2bd0
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