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dc.contributor.authorNesbitt, P.en
dc.contributor.authorKennedy, Q.en
dc.contributor.authorAlt, J. K.en
dc.contributor.authorFricker, Ronald D. Jr.en
dc.contributor.authorWhitaker, L.en
dc.contributor.authorYang, J.en
dc.contributor.authorAppleget, J. A.en
dc.contributor.authorHuston, J.en
dc.contributor.authorPatton, S.en
dc.date.accessioned2016-12-28T13:42:29Zen
dc.date.available2016-12-28T13:42:29Zen
dc.date.issued2013-10en
dc.identifier.urihttp://hdl.handle.net/10919/73876en
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
dc.publisherNaval Postgraduate Schoolen
dc.rightsCreative Commons CC0 1.0 Universal Public Domain Dedicationen
dc.rights.urihttp://creativecommons.org/publicdomain/zero/1.0/en
dc.titleUnderstanding Optimal Decision-making in Wargamingen
dc.typeReporten
dc.contributor.departmentStatisticsen
dc.description.notesfalse (Extension publication?)en
pubs.organisational-group/Virginia Techen
pubs.organisational-group/Virginia Tech/All T&R Facultyen
pubs.organisational-group/Virginia Tech/Scienceen
pubs.organisational-group/Virginia Tech/Science/COS T&R Facultyen
pubs.organisational-group/Virginia Tech/Science/Statisticsen
pubs.place-of-publicationMonterey, CAen


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Creative Commons CC0 1.0 Universal Public Domain Dedication
License: Creative Commons CC0 1.0 Universal Public Domain Dedication