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Decentralized Reasoning in Ambient Intelligence

  • Book
  • © 2012

Overview

Authors:
  1. José Viterbo

    1. Departamento de Ciência da Computação, Universidade Federal Fluminense, São Domingos, Niterói, Brazil

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  2. Markus Endler

    1. Departamento de Informática, Pontifícia Universidade Católica do Rio, Rio de Janeiro, Brazil

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    You can also search for this author in PubMed   Google Scholar

  • 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)

  1. Front Matter

    Pages i-ix
    Download chapter PDF

  2. Introduction

    • José Viterbo, Markus Endler
    Pages 1-7

  3. Fundamental Concepts

    • José Viterbo, Markus Endler
    Pages 9-26

  4. Related Work

    • José Viterbo, Markus Endler
    Pages 27-34

  5. Cooperative Reasoning

    • José Viterbo, Markus Endler
    Pages 35-45

  6. Our Approach for Cooperative Reasoning

    • José Viterbo, Markus Endler
    Pages 47-62

  7. Case Study

    • José Viterbo, Markus Endler
    Pages 63-66

  8. Implementation

    • José Viterbo, Markus Endler
    Pages 67-78

  9. Evaluation

    • José Viterbo, Markus Endler
    Pages 79-89

  10. Conclusion

    • José Viterbo, Markus Endler
    Pages 91-96
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Keywords

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

  • Departamento de Ciência da Computação, Universidade Federal Fluminense, São Domingos, Niterói, Brazil

    José Viterbo

  • 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

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