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Challenges for automation in adaptive abstraction
University of Corsica, France; University of Antwerp, Belgium.
University of Antwerp, Belgium; Flanders Make, Belgium.
Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems.ORCID iD: 0000-0003-0416-1787
University of Antwerp, Belgium; Flanders Make, Belgium.
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2019 (English)In: Proceedings - 2019 ACM/IEEE 22nd International Conference on Model Driven Engineering Languages and Systems Companion, MODELS-C 2019, Institute of Electrical and Electronics Engineers Inc. , 2019, p. 443-448, article id 8904655Conference paper, Published paper (Refereed)
Abstract [en]

Models are well-defined abstractions that provide cost-effective representations of the real-world for a precise purpose. When dealing with complex problems, there usually exist multiple abstractions, typically describing partially overlapping details of the system under study, and resulting in a hierarchy of abstractions. Adaptive abstraction leverages these levels with the aim of dynamically adapting the abstractions used during system execution. In this paper, we describe such process in terms of a MAPE-K (Monitor-Analyze-Plan-Execute over a shared Knowledge) control loop to discuss the challenges towards adaptive abstraction automation. In particular, we elaborate on adaptively selecting a candidate over multiple abstractions, an unaddressed issue in the literature. The discussion is supported by a running example in an agent-based simulation scenario.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers Inc. , 2019. p. 443-448, article id 8904655
Keywords [en]
Adaptive system, Agent based Simulation, Multi Paradigm, Multi-Abstraction, System Modeling, Traffic Simulation, Adaptive systems, C (programming language), Cost effectiveness, Systems analysis, Multi abstraction, Multi-paradigm, Traffic simulations, Abstracting
National Category
Computer and Information Sciences
Identifiers
URN: urn:nbn:se:mdh:diva-46528DOI: 10.1109/MODELS-C.2019.00071ISI: 000521634200060Scopus ID: 2-s2.0-85075950865ISBN: 9781728151250 (print)OAI: oai:DiVA.org:mdh-46528DiVA, id: diva2:1379645
Conference
22nd ACM/IEEE International Conference on Model Driven Engineering Languages and Systems Companion, MODELS-C 2019, 15 September 2019 through 20 September 2019
Available from: 2019-12-17 Created: 2019-12-17 Last updated: 2020-04-17Bibliographically approved

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Cicchetti, Antonio

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CiteExportLink to record
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Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
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Language
  • de-DE
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  • nn-NB
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  • Other locale
More languages
Output format
  • html
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  • asciidoc
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