Show simple item record

dc.contributor.authorOSMAN, Men_US
dc.contributor.authorGlass, Ben_US
dc.contributor.authorHola, Zen_US
dc.date.accessioned2016-01-20T16:27:37Z
dc.date.available2015-09-24en_US
dc.date.issued2015-10-10en_US
dc.identifier.issn2079-8954en_US
dc.identifier.urihttp://qmro.qmul.ac.uk/xmlui/handle/123456789/10835
dc.description.abstractIn dynamic environments, when faced with a choice of which learning strategy to adopt, do people choose to mostly explore (maximizing their long term gains) or exploit (maximizing their short term gains)? More to the point, how does this choice of learning strategy influence one’s later ability to control the environment? In the present study, we explore whether people’s self-reported learning strategies and levels of arousal (i.e., surprise, stress) correspond to performance measures of controlling a Highly Uncertain or Moderately Uncertain dynamic environment. Generally, self-reports suggest a preference for exploring the environment to begin with. After which, those in the Highly Uncertain environment generally indicated they exploited more than those in the Moderately Uncertain environment; this difference did not impact on performance on later tests of people’s ability to control the dynamic environment. Levels of arousal were also differentially associated with the uncertainty of the environment. Going beyond behavioral data, our model of dynamic decision-making revealed that, in actual fact, there was no difference in exploitation levels between those in the highly uncertain or moderately uncertain environments, but there were differences based on sensitivity to negative reinforcement. We consider the implications of our findings with respect to learning and strategic approaches to controlling dynamic uncertainty.en_US
dc.description.sponsorshipThis study was supported by the Engineering and Physical Sciences Research Council.en_US
dc.format.extent211 - 236en_US
dc.languageenglishen_US
dc.language.isoenen_US
dc.publisherMDPI AGen_US
dc.relation.ispartofSystemsen_US
dc.rightsCC-BY
dc.titleApproaches to Learning to Control Dynamic Uncertaintyen_US
dc.typeArticle
dc.rights.holder© 2015 The Authors
dc.identifier.doi10.3390/systems3040211en_US
pubs.notesNot knownen_US
pubs.publication-statusPublisheden_US
pubs.volume3en_US
dcterms.dateAccepted2015-09-24en_US


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record