Cristin-resultat-ID: 1936446
Sist endret: 5. oktober 2021, 10:41
NVI-rapporteringsår: 2021
Resultat
Vitenskapelig artikkel
2021

Robust Reasoning for Autonomous Cyber-Physical Systems in Dynamic Environments

Bidragsytere:
  • Anne Håkansson
  • Aya Saad
  • Akhil Sadanandan Anand
  • Vilde Benoni Gjærum
  • Haakon Robinson og
  • Katrine Seel

Tidsskrift

Procedia Computer Science
ISSN 1877-0509
e-ISSN 1877-0509
NVI-nivå 1

Om resultatet

Vitenskapelig artikkel
Publiseringsår: 2021
Publisert online: 2021
Trykket: 2021
Volum: 192
Sider: 3966 - 3978
Open Access

Klassifisering

Vitenskapsdisipliner

Informasjons- og kommunikasjonsteknologi

Emneord

Robust AI • Robustness analysis • Robust reasoning

Beskrivelse Beskrivelse

Tittel

Robust Reasoning for Autonomous Cyber-Physical Systems in Dynamic Environments

Sammendrag

Autonomous cyber-physical systems, CPS, in dynamic environments must work impeccably. The cyber-physical systems must handle tasks consistently and trustworthily, i.e., with a robust behavior. Robust systems, in general, require making valid and solid decisions using one or a combination of robust reasoning strategies, algorithms, and robustness analysis. However, in dynamic environments, data can be incomplete, skewed, contradictory, and redundant impacting the reasoning. Basing decisions on these data can lead to inconsistent, irrational, and unreasonable cyber-physical systems' movements, adversely impacting the system’s reliability and integrity. This paper presents the assessment of robust reasoning for autonomous cyber-physical systems in dynamic environments. In this work, robust reasoning is considered as 1) the capability of drawing conclusions with available data by applying classical and non-classical reasoning strategies and algorithms and 2) act and react robustly and safely in dynamic environments by employing robustness analysis to provide options on possible actions and evaluate alternative decisions. The result of the research shows that different common existing strategies, algorithms and analyses can be provided together with a comparison of their applicabilities, benefits, and drawbacks in the context of cyber-physical systems operating in dynamically changing environments. The conclusion is that robust reasoning in cyber-physical systems can handle dynamic environments. Moreover, combining these strategies and algorithms with robustness analysis can support achieving robust behavior in autonomous cyber-physical systems while operating in dynamically changing environments.

Bidragsytere

Anne Håkansson

  • Tilknyttet:
    Forfatter
    ved Institutt for informatikk ved UiT Norges arktiske universitet

Aya Saad

  • Tilknyttet:
    Forfatter
    ved Institutt for teknisk kybernetikk ved Norges teknisk-naturvitenskapelige universitet

Akhil Sadanandan Anand

  • Tilknyttet:
    Forfatter
    ved Institutt for teknisk kybernetikk ved Norges teknisk-naturvitenskapelige universitet

Vilde Benoni Gjærum

  • Tilknyttet:
    Forfatter
    ved Institutt for teknisk kybernetikk ved Norges teknisk-naturvitenskapelige universitet

Haakon Robinson

  • Tilknyttet:
    Forfatter
    ved Institutt for teknisk kybernetikk ved Norges teknisk-naturvitenskapelige universitet
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