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dc.contributor.authorNesbitt, Pen_US
dc.contributor.authorKennedy, Qen_US
dc.contributor.authorAlt, JKen_US
dc.contributor.authorFricker, Ronald D. Jr.en_US
dc.contributor.authorWhitaker, Len_US
dc.contributor.authorYang, Jen_US
dc.contributor.authorAppleget, JAen_US
dc.contributor.authorHuston, Jen_US
dc.contributor.authorPatton, Sen_US
dc.date.accessioned2016-12-28T13:42:29Z
dc.date.available2016-12-28T13:42:29Z
dc.date.issued2013-10en_US
dc.identifier.urihttp://hdl.handle.net/10919/73876
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.publisherNaval Postgraduate Schoolen_US
dc.rightsCC0 1.0 Universal (CC0 1.0) Public Domain Dedication*
dc.rights.urihttp://creativecommons.org/publicdomain/zero/1.0/*
dc.titleUnderstanding Optimal Decision-making in Wargamingen_US
dc.typeReport
dc.description.notesfalse (Extension publication?)en_US
pubs.organisational-group/Virginia Tech
pubs.organisational-group/Virginia Tech/All T&R Faculty
pubs.organisational-group/Virginia Tech/Science
pubs.organisational-group/Virginia Tech/Science/COS T&R Faculty
pubs.organisational-group/Virginia Tech/Science/Statistics
pubs.place-of-publicationMonterey, CAen_US


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CC0 1.0 Universal (CC0 1.0) Public Domain Dedication
License: CC0 1.0 Universal (CC0 1.0) Public Domain Dedication