Radanliev, P;
De Roure, D;
Van Kleek, M;
Santos, O;
Ani, U;
(2020)
Artificial intelligence in cyber physical systems.
AI and Society
10.1007/s00146-020-01049-0.
(In press).
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Abstract
This article conducts a literature review of current and future challenges in the use of artifcial intelligence (AI) in cyber physical systems. The literature review is focused on identifying a conceptual framework for increasing resilience with AI through automation supporting both, a technical and human level. The methodology applied resembled a literature review and taxonomic analysis of complex internet of things (IoT) interconnected and coupled cyber physical systems. There is an increased attention on propositions on models, infrastructures and frameworks of IoT in both academic and technical papers. These reports and publications frequently represent a juxtaposition of other related systems and technologies (e.g. Industrial Internet of Things, Cyber Physical Systems, Industry 4.0 etc.). We review academic and industry papers published between 2010 and 2020. The results determine a new hierarchical cascading conceptual framework for analysing the evolution of AI decision-making in cyber physical systems. We argue that such evolution is inevitable and autonomous because of the increased integration of connected devices (IoT) in cyber physical systems. To support this argument, taxonomic methodology is adapted and applied for transparency and justifcations of concepts selection decisions through building summary maps that are applied for designing the hierarchical cascading conceptual framework.
| Type: | Article |
|---|---|
| Title: | Artificial intelligence in cyber physical systems |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1007/s00146-020-01049-0 |
| Publisher version: | https://doi.org/10.1007/s00146-020-01049-0 |
| Language: | English |
| Additional information: | This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. |
| Keywords: | Artifcial cognition · Industrial internet of things · Cyber physical systems · Industry 4.0 · Artifcial intelligence · Anomaly detection |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > STEaPP |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10108962 |
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