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dc.contributor.authorCalder, Muffy
dc.contributor.authorDobson, Simon
dc.contributor.authorFisher, Micahel
dc.contributor.authorMcCann, Julie
dc.date.accessioned2018-11-15T09:30:23Z
dc.date.available2018-11-15T09:30:23Z
dc.date.issued2018-11-15
dc.identifier.citationCalder , M , Dobson , S , Fisher , M & McCann , J 2018 , ' Making sense of the world : framing models for trustworthy sensor-driven systems ' , Computers , vol. 7 , no. 4 , 62 . https://doi.org/10.3390/computers7040062en
dc.identifier.issn2073-431X
dc.identifier.otherPURE: 256584469
dc.identifier.otherPURE UUID: 884baeca-c720-4f4f-b9f1-483454b3950c
dc.identifier.otherScopus: 85059279918
dc.identifier.otherWOS: 000454652700016
dc.identifier.urihttp://hdl.handle.net/10023/16469
dc.descriptionThis work is supported by the Science of Sensor System Software programme grant, funded by the EPSRC (Engineering and Physical Sciences Research Council), EP/N007565/1.en
dc.description.abstractSensor-driven systems provide data and information that facilitate real-time decision-making and autonomous actuation, as well as enable informed policy choices. However, can we be sure that these systems work as expected? Can we model them in a way that captures all the key issues? We define two concepts: frames of reference and frames of function that help us organise models of sensor-based systems and their purpose. Examples from a smart water distribution network illustrate how frames offer a lens through which to organise and balance multiple views of the system. Frames aid communication between modellers, analysts and stakeholders, and distinguish the purpose of each model, which contributes towards our trust that the system fulfils its purpose.
dc.format.extent13
dc.language.isoeng
dc.relation.ispartofComputersen
dc.rightsCopyright © 2018 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).en
dc.subjectModelsen
dc.subjectAssuranceen
dc.subjectSensor-driven systemsen
dc.subjectSensor networksen
dc.subjectQA75 Electronic computers. Computer scienceen
dc.subjectT Technologyen
dc.subjectT-NDASen
dc.subject.lccQA75en
dc.subject.lccTen
dc.titleMaking sense of the world : framing models for trustworthy sensor-driven systemsen
dc.typeJournal articleen
dc.description.versionPublisher PDFen
dc.contributor.institutionUniversity of St Andrews.School of Computer Scienceen
dc.identifier.doihttps://doi.org/10.3390/computers7040062
dc.description.statusPeer revieweden
dc.identifier.urlhttps://www.mdpi.com/2073-431X/7/4/62en


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