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.
Collective Adaptation through Concurrent Planning: the Case of Sustainable Urban Mobility / Bucchiarone, Antonio; Furelos-Blanco, Daniel; Jonsson, Anders; Khandokar, Fahmida; Mourshed, Monjur M.. - ELETTRONICO. - (2018), pp. 1880-1882. (Intervento presentato al convegno 17th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2018) tenutosi a Stockholm, Sweden nel 10-15 July 2018).
Collective Adaptation through Concurrent Planning: the Case of Sustainable Urban Mobility
Antonio Bucchiarone;
2018-01-01
Abstract
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.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione
