Research Article
Modeling Emergent Behaviour for Enhanced Autonomy in Cyber-Physical Systems
@INPROCEEDINGS{10.1007/978-3-031-63992-0_35, author={Matthias Schaffeld and Torben Weis}, title={Modeling Emergent Behaviour for Enhanced Autonomy in Cyber-Physical Systems}, proceedings={Mobile and Ubiquitous Systems: Computing, Networking and Services. 20th EAI International Conference, MobiQuitous 2023, Melbourne, VIC, Australia, November 14--17, 2023, Proceedings, Part II}, proceedings_a={MOBIQUITOUS PART 2}, year={2024}, month={7}, keywords={behavioural modeling monitoring cyber-physical systems}, doi={10.1007/978-3-031-63992-0_35} }- Matthias Schaffeld
Torben Weis
Year: 2024
Modeling Emergent Behaviour for Enhanced Autonomy in Cyber-Physical Systems
MOBIQUITOUS PART 2
Springer
DOI: 10.1007/978-3-031-63992-0_35
Abstract
The convergence of Cyber-Physical Systems (CPS) and autonomous systems presents numerous application areas and challenges. Many CPS use cases require autonomy, which necessitates robust monitoring, maintenance, and longevity of these systems. However, handling unmodeled data, environmental uncertainties, and emergent behaviour poses significant challenges. This paper proposes the use of a novel formalism, Extended Hidden Markov Models with(\epsilon )-emissions ((\epsilon )-HMMT), to estimate the correctness of an autonomous system’s emergent behaviour in complex and changing environments. We discuss the advantages and disadvantages of different modeling approaches, emphasizing the need for a more adaptable and robust modeling technique.
