Bucchiarone A, Khandokar F, Furelos D, Jonsson A, Mourshed M. Collective Adaptation through Concurrent Planning: the Case of Sustainable Urban Mobility. 7th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2018)
Bucchiarone A, Khandokar F, Furelos D, Jonsson A, Mourshed M. Collective Adaptation through Concurrent Planning: the Case of Sustainable Urban Mobility. 7th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2018)
Bucchiarone A, Khandokar F, Furelos D, Jonsson A, Mourshed M. Collective Adaptation through Concurrent Planning: the Case of Sustainable Urban Mobility. 7th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 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 algorithms.
Additional material
The software is available at the GitHub account of the AI-ML research group at UPF
Version at UPF e-repository