Bucchiarone, AntonioFurelos Blanco, DanielJonsson, Anders, 1973-Khandokar, FahmidaMourshed, Monjur2018-08-202018-08-202018Bucchiarone A, Furelos-Blanco D, Jonsson A, Khandokar F, Mourshed M. Collective adaptation through concurrent planning: the case of sustainable urban mobility. In: AAMAS 2018. 17th International Conference on Autonomous Agents and Multiagent Systems; 2018 Jul 10-15; Stockholm, Sweden. [Richland]: IFAAMAS; 2018. p. 1880-2.http://hdl.handle.net/10230/35338Comunicació 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.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 algorithmsapplication/pdfeng© 2018 International Foundation for Autonomous Agents and Multiagent Systems (www.ifaamas.org). All rights reserved. http://ifaamas.org/Proceedings/aamas2018/info:eu-repo/semantics/conferenceObjectSocio-Technical SystemsCollective AdaptationEnsemblesSustainable Urban MobilityConcurrent Planninginfo:eu-repo/semantics/openAccess