I think therefore you are: models for interaction in collectives of self-aware cyber-physical systems.

Esterle, Lukas; Brown, John N A

Abstract

Cyber-physical systems operate in our real world, constantly interacting with the environment and collaborating with other systems. The increasing number of devices will make it infeasible to control each one individually. It will also be infeasible to prepare each of them for every imaginable rapidly unfolding situation. Therefore, we must increase the autonomy of future Cyber-physical Systems. Making these systems self-aware allows them to reason about their own capabilities and their immediate environment. In this article, we extend the idea of the self-awareness of individual systems toward networked self-awareness. This gives systems the ability to reason about how they are being affected by the actions and interactions of others within their perceived environment, as well as in the extended environment that is beyond their direct perception. We propose that different levels of networked self-awareness can develop over time in systems as they do in humans. Furthermore, we propose that this could have the same benefits for networks of systems that it has had for communities of humans, increasing performance and adaptability.

Citation

ESTERLE, L. and BROWN, J.N.A. 2020. I think therefore you are: models for interaction in collectives of self-aware cyber-physical systems. ACM transactions on cyber-physical systems [online], 4(4): special issue on self-awareness in resource constrained CPS and regular papers, article 39. Available from: https://doi.org/10.1145/3375403

• Journal Article Type: Article
• Acceptance Date: Nov 1, 2019
• Online Publication Date: May 7, 2020
• Publication Date: Jun 18, 2020
• Deposit Date: Jul 29, 2025
• Publicly Available Date: Jul 29, 2025
• Journal: ACM transactions on cyber-physical systems
• Print ISSN: 2378-962X
• Electronic ISSN: 2378-9638
• Publisher: Association for Computing Machinery (ACM)
• Peer Reviewed: Peer Reviewed
• Volume: 4
• Issue: 4
• Article Number: 39
• Pages: 1-25
• DOI: https://doi.org/10.1145/3375403
• Keywords: Self-aware systems; Networked self-awareness; Collaborative systems; Autonomous systems; Artificial intelligence
• Public URL: https://rgu-repository.worktribe.com/output/2250108