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

Bucchiarone, Antonio, Furelos-Blanco, Daniel, Jonsson, Anders, Khandokar, Fahmida and Mourshed, Monjur ORCID: https://orcid.org/0000-0001-8347-1366 2018. Collective adaptation through concurrent planning: the case of sustainable urban mobility. Presented at: 17th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2018), Stockholm, Sweden, 10-15 July 2018. Published in: Dastani, M., Sukthankar, G., André, E. and Koenig, S. eds. Proceedings of the 17th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2018). Stockholm, Sweden: IFAAMAS, pp. 1880-1882.

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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.

Item Type:	Conference or Workshop Item (Paper)
Date Type:	Publication
Status:	Published
Schools:	Engineering
Subjects:	T Technology > TA Engineering (General). Civil engineering (General)
Uncontrolled Keywords:	Socio-Technical Systems; Collective Adaptation; Ensembles; Sustainable Urban Mobility; Concurrent Planning
Publisher:	IFAAMAS
ISBN:	9781450356497
Date of First Compliant Deposit:	10 July 2018
Date of Acceptance:	6 June 2018
Last Modified:	23 Oct 2022 14:14
URI:	https://orca.cardiff.ac.uk/id/eprint/113119

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