Whole-system programming of adaptive ambient intelligence

S Dobson; Paddy Nixon

doi:10.1007/978-3-540-73281-5_8

Whole-system programming of adaptive ambient intelligence

S Dobson, Paddy Nixon

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Citation (Scopus)

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.

Original language	English
Title of host publication	Unknown Host Publication
Publisher	Springer
Pages	73-81
Number of pages	9
ISBN (Print)	978-3-540-73280-8
DOIs	https://doi.org/10.1007/978-3-540-73281-5_8
Publication status	Published (in print/issue) - 2007
Event	Universal Access in Human-Computer Interaction: Ambient Interaction (Part II) - Beijing, China Duration: 1 Jan 2007 → …

Conference

Conference	Universal Access in Human-Computer Interaction: Ambient Interaction (Part II)
Period	1/01/07 → …

Keywords

n/a

Access to Document

10.1007/978-3-540-73281-5_8

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title = "Whole-system programming of adaptive ambient intelligence",

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.",

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AB - 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.

KW - n/a

U2 - 10.1007/978-3-540-73281-5_8

DO - 10.1007/978-3-540-73281-5_8

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SN - 978-3-540-73280-8

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Whole-system programming of adaptive ambient intelligence

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