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Decentralized Reasoning in Ambient Intelligence

  • José Viterbo
  • Markus Endler

Part of the SpringerBriefs in Computer Science book series (BRIEFSCOMPUTER)

Table of contents

  1. Front Matter
    Pages i-ix
  2. José Viterbo, Markus Endler
    Pages 1-7
  3. José Viterbo, Markus Endler
    Pages 9-26
  4. José Viterbo, Markus Endler
    Pages 27-34
  5. José Viterbo, Markus Endler
    Pages 35-45
  6. José Viterbo, Markus Endler
    Pages 47-62
  7. José Viterbo, Markus Endler
    Pages 63-66
  8. José Viterbo, Markus Endler
    Pages 67-78
  9. José Viterbo, Markus Endler
    Pages 79-89
  10. José Viterbo, Markus Endler
    Pages 91-96

About this book

Introduction

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.

Keywords

Ambient Intelligence Distributed Inference Rule-based Reasoning Ubiquitous Computing

Authors and affiliations

  • José Viterbo
    • 1
  • Markus Endler
    • 2
  1. 1.Departamento de Ciência da ComputaçãoUniversidade Federal FluminenseSão Domingos, NiteróiBrazil
  2. 2.Departamento de InformáticaPontifícia Universidade Católica do RioRio de JaneiroBrazil

Bibliographic information

  • DOI https://doi.org/10.1007/978-1-4471-4168-6
  • Copyright Information The Author(s) 2012
  • Publisher Name Springer, London
  • eBook Packages Computer Science
  • Print ISBN 978-1-4471-4167-9
  • Online ISBN 978-1-4471-4168-6
  • Series Print ISSN 2191-5768
  • Series Online ISSN 2191-5776
  • Buy this book on publisher's site