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Presents a detailed description of how to implement a decentralized reasoning mechanism for intelligent ambients
Includes supplementary material: sn.pub/extras
Part of the book series: SpringerBriefs in Computer Science (BRIEFSCOMPUTER)
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Table of contents (9 chapters)
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Front Matter
About this book
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.
Authors and Affiliations
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Departamento de Ciência da Computação, Universidade Federal Fluminense, São Domingos, Niterói, Brazil
José Viterbo
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Departamento de Informática, Pontifícia Universidade Católica do Rio, Rio de Janeiro, Brazil
Markus Endler
Bibliographic Information
Book Title: Decentralized Reasoning in Ambient Intelligence
Authors: José Viterbo, Markus Endler
Series Title: SpringerBriefs in Computer Science
DOI: https://doi.org/10.1007/978-1-4471-4168-6
Publisher: Springer London
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: The Author(s) 2012
Softcover ISBN: 978-1-4471-4167-9Published: 25 May 2012
eBook ISBN: 978-1-4471-4168-6Published: 24 May 2012
Series ISSN: 2191-5768
Series E-ISSN: 2191-5776
Edition Number: 1
Number of Pages: IX, 96
Number of Illustrations: 25 b/w illustrations
Topics: Computer Communication Networks, Artificial Intelligence