Smart is a matter of context

Julien Nigon (1, 2) , Nicolas Verstaevel (1, 3) , Jérémy Boes (1) , Frédéric Migeon (1, 2) , Marie-Pierre Gleizes (1, 2)

1 IRIT-SMAC - Systèmes Multi-Agents Coopératifs
2 UT3 - Université Toulouse III - Paul Sabatier
3 UT Capitole - Université Toulouse Capitole

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.

Mots clés: Multi-agent systems; Complexity; Smart cities

Domaines: Intelligence artificielle [cs.AI]; Système multi-agents [cs.MA]; Complexité [cs.CC]

Julien Nigon, Nicolas Verstaevel, Jérémy Boes, Frédéric Migeon, Marie-Pierre Gleizes. Smart is a matter of context. 10th International and Interdisciplinary Conference on Modeling and Using Context (CONTEXT 2017), Jun 2017, Paris, France. pp.189-202, ⟨10.1007/978-3-319-57837-8_15⟩. ⟨hal-01740025⟩