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Whole-system programming of adaptive ambient intelligence

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dc.contributor.creator Dobson, Simon
dc.date.accessioned 2011-07-22T10:12:50Z
dc.date.available 2011-07-22T10:12:50Z
dc.date.issued 2007
dc.identifier.uri http://hdl.handle.net/10344/1172
dc.description peer-reviewed en_US
dc.description.abstract Ambient intelligence involves synthesising data from a range of sources in order to exhibit meaningful adaptive behaviour without explicit user direction, driven by inputs from largely independent devices and data sources. This immediately raises questions of how such behaviours are to be specified and programmed, in the face of uncertainty both in the data being sensed and the tasks being supported. We explore the issues that impact the stability and flexibility of systems, and use these issues to derive constraints and targets for the next generation of programming frameworks. en_US
dc.description.sponsorship SFI 05/RFP/CMS0062, 04/RPI/1544, 03/CE2/I303-1 en_US
dc.language.iso eng en_US
dc.publisher Springer-verlang en_US
dc.relation.ispartofseries HCI international 2007;
dc.subject whole-system programming en_US
dc.subject ambient intelligence en_US
dc.title Whole-system programming of adaptive ambient intelligence en_US
dc.type Conference item en_US
dc.type.supercollection all_ul_research en_US
dc.type.supercollection ul_published_reviewed en_US
dc.type.restriction none en


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