Knowledge aggregation with subjective logic in multi-agent self-adaptive cyber-physical systems

Ana Petrovska, Sergio Quijano, Ilias Gerostathopoulos, Alexander Pretschner

Research output: Chapter in Book / Report / Conference proceedingConference contributionAcademicpeer-review

Abstract

Modern software systems, such as cyber-physical systems (CPSs), operate in complex and dynamic environments. With the continuous and unanticipated change in the operational environment, these systems are subjected to a variety of uncertainties. Self-adaptive CPSs (SACPSs) can adjust their behavior or structure at run-time as a response to the changes in their perceived environment. Namely, self-adaptation is commonly realized through a MAPE-K feedback loop incorporating newly derived knowledge obtained by the sensed data from the run-time monitoring, during the operation of decentralized SACPSs. However, to build the knowledge, the need for run-time observations' aggregation and reasoning emerges, since the observations made by the decentralized systems might be conflicting. In this paper, we propose an approach for observations aggregation and knowledge modeling in SACPSs that is domain-independent and can deal with inaccurate, partial, and conflicting observations, based on the formalisms of Subjective Logic.

Original languageEnglish
Title of host publicationSEAMS 2020
Subtitle of host publicationProceedings of the IEEE/ACM 15th International Symposium on Software Engineering for Adaptive and Self-Managing Systems
PublisherAssociation for Computing Machinery, Inc
Pages149-155
Number of pages7
ISBN (Electronic)9781450379625
DOIs
Publication statusPublished - 29 Jun 2020
Event15th IEEE/ACM International Symposium on Software Engineering for Adaptive and Self-Managing Systems, SEAMS 2020 - Virtual, Online, Korea, Republic of
Duration: 29 Jun 20203 Jul 2020

Conference

Conference15th IEEE/ACM International Symposium on Software Engineering for Adaptive and Self-Managing Systems, SEAMS 2020
CountryKorea, Republic of
CityVirtual, Online
Period29/06/203/07/20

Keywords

  • cyber-physical systems
  • knowledge aggregation
  • reasoning
  • self-adaptive systems
  • subjective logic

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