Collective adaptation through concurrent planning: the case of sustainable urban mobility

Descripció

• Dades relacionades

  https://github.com/aig-upf/smart-carpooling-demo

• Resum

  In this paper we address the challenges that impede collective adaptation in smart mobility systems by proposing a notion of ensembles. Ensembles enable systems with collective adaptability to be built as emergent aggregations of autonomous and self-adaptive agents. Adaptation in these systems is triggered by a run-time occurrence, which is known as an issue. The novel aspect of our approach is, it allows agents affected by an issue in the context of a smart mobility scenario to adapt collaboratively with minimal impact on their own preferences through an issue resolution process based on concurrent planning algorithms
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• Descripció

  Comunicació presentada a la 17th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2018), celebrada a Stockholm del 10 al 15 de juliol de 2018.

• Col·leccions

  Congressos (Departament de Tecnologies de la Informació i les Comunicacions)
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