Despite the active and proficuous research in autonomous and self-adaptive systems of the last years, an evaluation framework to assess abilities related to adaption and to provide guidance to make a system smarter is still missing. In this paper, we perform the first steps towards an evaluation framework for autonomous systems to (i) make an assessment of a system from the perspective of its capacity to adapt and learn over time to handle new and unexpected conditions, (ii) explore and identify the possible pathways of improvement of the smart abilities (e.g., decisional autonomy, adaptability, perception, interaction, etc.) of a system, (iii) make a re-assessment when the improvement has been performed.

(2022). Towards an Evaluation Framework for Autonomous Systems . Retrieved from https://hdl.handle.net/10446/235451

Towards an Evaluation Framework for Autonomous Systems

Bombarda, Andrea;Bonfanti, Silvia;Gargantini, Angelo;Scandurra, Patrizia
2022-01-01

Abstract

Despite the active and proficuous research in autonomous and self-adaptive systems of the last years, an evaluation framework to assess abilities related to adaption and to provide guidance to make a system smarter is still missing. In this paper, we perform the first steps towards an evaluation framework for autonomous systems to (i) make an assessment of a system from the perspective of its capacity to adapt and learn over time to handle new and unexpected conditions, (ii) explore and identify the possible pathways of improvement of the smart abilities (e.g., decisional autonomy, adaptability, perception, interaction, etc.) of a system, (iii) make a re-assessment when the improvement has been performed.
2022
Bombarda, Andrea; Bonfanti, Silvia; De Sanctis, Martina; Gargantini, Angelo Michele; Pelliccione, Patrizio; Riccobene, Elvinia; Scandurra, Patrizia
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10446/235451
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