Artificial intelligence in cyber physical systems
| Autor: | Max Van Kleek, Uchenna Ani, David De Roure, Omar Santos, Petar Radanliev |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
FOS: Computer and information sciences
Industry 4.0 Computer science Anomaly detection 02 engineering and technology 0603 philosophy ethics and religion Computer Science - Computers and Society control_systems_engineering Artificial Intelligence Argument Cyber physical systems Computers and Society (cs.CY) Open Forum 0202 electrical engineering electronic engineering information engineering Selection (linguistics) Industrial internet of things Resilience (network) business.industry Cyber-physical system 06 humanities and the arts Artificial cognition Transparency (behavior) Automation Human-Computer Interaction Philosophy Conceptual framework 020201 artificial intelligence & image processing 060301 applied ethics Artificial intelligence business |
| Zdroj: | Europe PubMed Central AI & SOCIETY Ai & Society |
| ISSN: | 1435-5655 0951-5666 |
| DOI: | 10.1007/s00146-020-01049-0 |
| Popis: | This article conducts a literature review of current and future challenges in the use of artificial 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 justifications of concepts selection decisions through building summary maps that are applied for designing the hierarchical cascading conceptual framework. |
| Databáze: | OpenAIRE |
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