Decentralized Reasoning in Ambient Intelligence



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Éditeur :

Springer


Collection :

SpringerBriefs in Computer Science

Paru le : 2012-05-24



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Description

In Ambient Intelligence (AmI) systems, reasoning is fundamental for triggering actions or adaptations according to specific situations that may be meaningful and relevant to some applications. However, such reasoning operations may need to evaluate context data collected from distributed sources and stored in different devices, as usually not all context data is readily available to the reasoners within the system.
Decentralized Reasoning in Ambient Intelligence proposes a decentralized reasoning approach for performing rule-based reasoning about context data targeting AmI systems. For this purpose, the authors define a context model assuming context data distributed over two sides: the user side, represented by the users and their mobile devices, and the ambient side, represented by the fixed computational infrastructure and ambient services. They formalize the cooperative reasoning operation — in which two entities cooperate to perform decentralized rule-based reasoning — and define a complete process to perform this operation.
Pages
96 pages
Collection
SpringerBriefs in Computer Science
Parution
2012-05-24
Marque
Springer
EAN papier
9781447141679
EAN EPUB
9781447141686

Informations sur l'ebook
Nombre pages copiables
0
Nombre pages imprimables
9
Taille du fichier
1044 Ko
Prix
52,74 €