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Smart Is a Matter of Context

  • Julien NigonEmail author
  • Nicolas Verstaevel
  • Jérémy Boes
  • Frédéric Migeon
  • Marie-Pierre Gleizes
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10257)

Abstract

Smart cities involve, in a large scale, a wide array of interconnected components and agents, giving birth to large and heterogeneous data flows. They are inherently cross-disciplinary, provide interesting challenges, and constitute a very promising field for future urban developments, such as smart grids, eco-feedback, intelligent traffic control, and so on. We advocate that the key to these challenges is the proper modelling and exploitation of context. However, said context is highly dynamic and mainly unpredictable. Improved AI and machine learning techniques are required. Starting from some of the main smart cities features, this paper highlights the key challenges, explains why handling context is crucial to them, and gives some insights to address them, notably with multi-agent systems.

Keywords

Smart cities Multi-agent systems Complexity 

Notes

Acknowledgements

This work is partially funded by the Midi-Pyrénées region for the neOCampus initiative (www.irit.fr/neocampus/) and supported by the University of Toulouse.

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Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  • Julien Nigon
    • 1
    Email author
  • Nicolas Verstaevel
    • 1
  • Jérémy Boes
    • 1
  • Frédéric Migeon
    • 1
  • Marie-Pierre Gleizes
    • 1
  1. 1.University of Toulouse/IRIT-Team SMACToulouse Cedex 9France

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