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International Conference on Ubiquitous Computing and Ambient Intelligence

UCAmI 2014: Ubiquitous Computing and Ambient Intelligence. Personalisation and User Adapted Services pp 452–459Cite as

Ambient Intelligence Services Personalization via Social Choice Theory

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Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 8867))

Abstract

There are a great number of situations in Ambient Intelligence systems which involve users trying to access shared resources such as: music, TVs, decoration, gym machines, air conditioning, etcetera. The use of Social Choice theory can be employed in these situations to reach consensus while the social welfare is maximized. This paper proposes a multi-agent system to automate these agreements, points out the main challenges in using this system, and quantifies the benefits of its use in a specific case study by an agent-based social simulation.

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Author information

Authors and Affiliations

  1. Technical University of Madrid, Madrid, Spain

    Emilio Serrano, Pablo Moncada, Mercedes Garijo & Carlos A. Iglesias

Authors
  1. Emilio Serrano
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  2. Pablo Moncada
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  3. Mercedes Garijo
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  4. Carlos A. Iglesias
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Editor information

Editors and Affiliations

  1. Escuela Superior de Informática, Castilla Ly Mancha University, Paseo de la Universidad 4, 13071, Ciudad Real, Spain

    Ramón Hervás

  2. Department of Computer Engineering, Kyung Hee University, Seocheon-dong, Giheung-gu, 446-701, Yongin-si, Gyeongi-do, Korea

    Sungyoung Lee

  3. Computer Science Research Institute, School of Computing and Mathematics, University of Ulster, Jordanstown Campus, Shore Road, BT37 0QB, Newtownabbey, UK

    Chris Nugent

  4. Escuela Superior de Informática, Castilla La Mancha University, Paseo de la Universidad 4, 13071, Ciudad Real, Spain

    José Bravo

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© 2014 Springer International Publishing Switzerland

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Serrano, E., Moncada, P., Garijo, M., Iglesias, C.A. (2014). Ambient Intelligence Services Personalization via Social Choice Theory. In: Hervás, R., Lee, S., Nugent, C., Bravo, J. (eds) Ubiquitous Computing and Ambient Intelligence. Personalisation and User Adapted Services. UCAmI 2014. Lecture Notes in Computer Science, vol 8867. Springer, Cham. https://doi.org/10.1007/978-3-319-13102-3_73

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  • DOI: https://doi.org/10.1007/978-3-319-13102-3_73

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-13101-6

  • Online ISBN: 978-3-319-13102-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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