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Whole-System Programming of Adaptive Ambient Intelligence

  • Simon Dobson
  • Paddy Nixon
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4555)

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.

Keywords

Pervasive Computing Ambient Intelligence Task Inference Pervasive System Programming Platform 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2007

Authors and Affiliations

  • Simon Dobson
    • 1
  • Paddy Nixon
    • 1
  1. 1.Systems Research Group, School of Computer Science and Informatics, UCD Dublin IE 

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