Algorithms in ambient intelligence

E.H.L. Aarts, J.H.M. Korst, W.F.J. Verhaegh

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/CongresprocedureHoofdstukAcademic

5 Citaten (Scopus)
1 Downloads (Pure)

Samenvatting

We briefly review the concept of ambient intelligence and discuss its relation with the domain of intelligent algorithms. By means of four examples of ambient intelligent systems, we argue that new computing methods and quantification measures are needed to bridge the gap between the class of existing algorithms and the ones that are needed to realize ambient intelligence. These examples include quality of experience, private recommender systems, intentional search, and multimodal user awareness. The major differences between the classical and novel approaches are formulated in terms of a number of challenges for the design and analysis of intelligent algorithms.
Originele taal-2Engels
TitelAmbient Intelligence
RedacteurenW. Weber, J.M. Rabaey, E. Aarts
Plaats van productieBerlin
UitgeverijSpringer
Pagina's349-373
ISBN van geprinte versie3-540-23867-0
DOI's
StatusGepubliceerd - 2005

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  • Citeer dit

    Aarts, E. H. L., Korst, J. H. M., & Verhaegh, W. F. J. (2005). Algorithms in ambient intelligence. In W. Weber, J. M. Rabaey, & E. Aarts (editors), Ambient Intelligence (blz. 349-373). Springer. https://doi.org/10.1007/3-540-27139-2_16