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dc.contributor.authorKennedy, Quinn
dc.contributor.authorAlt, Jonathan
dc.contributor.authorFricker, Ron
dc.contributor.authorPatton, Scott
dc.contributor.authorWhitaker, Lee
dc.contributor.authorNesbitt, Peter
dc.contributor.authorYang, Ji Hyun
dc.contributor.authorAppleget, Jeff
dc.contributor.authorHuston, Jesse
dc.dateOctober 2013
dc.date.accessioned2014-06-05T20:49:14Z
dc.date.available2014-06-05T20:49:14Z
dc.date.issued2013-10
dc.identifier.urihttp://hdl.handle.net/10945/42045
dc.descriptionApproved for public release; distribution is unlimited.en_US
dc.description.abstractThis research aims to gain insight into optimal wargaming decision-making mechanisms using neurophysiological measures by investigating whether brain activation and visual scan patterns predict attention, perception, and/or decision-making errors through human-in-the-loop wargaming simulation experiments. We investigate whether brain activity and visual scan patterns can explain optimal wargaming decision making and its development with a within-person design; i.e., the transition from exploring the environment to exploiting the environment. We describe ongoing research that uses neurophysiological predictors in two military decision making tasks that tap reinforcement learning and cognitive flexibility.en_US
dc.publisherMonterey, California. Naval Postgraduate Schoolen_US
dc.rightsThis publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. As such, it is in the public domain, and under the provisions of Title 17, United States Code, Section 105, may not be copyrighted.en_US
dc.titleUnderstanding optimal decision-making in wargamingen_US
dc.typeTechnical Reporten_US
dc.contributor.departmentOperations Research
dc.subject.authoroptimal decision-makingen_US
dc.subject.authorelectroencephalographyen_US
dc.subject.authorneurophysiological predictorsen_US
dc.subject.authorwargamesen_US
dc.subject.authoreye trackingen_US
dc.subject.authormilitary decision-makingen_US
dc.subject.authorcognitive factorsen_US
dc.subject.authorregreten_US
dc.subject.authorreinforcement learningen_US
dc.subject.authorsequential detection methodsen_US
dc.subject.authorIowa Gambling Tasken_US
dc.subject.authorWisconsinen_US
dc.subject.authorCard Sorting Tasken_US
dc.description.funderArmy Research Office (ARO), PO Box 1221, Researchen_US
dc.identifier.npsreportNPS-OR-14-001


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