AI-based interoperability in dynamic systems of systems

Dynamic systems of systems are characterized by their heterogeneity, openness, data-intensity, and AI-based autonomy. In such environments, achieving interoperability is an important challenge. In this chapter, we discuss how the recent developments in artificial intelligence-more specifically large language modelscan contribute new approaches to enabling dynamic systems of systems interoperate autonomously. We discuss interoperability strategies, make architectural considerations, and comment on quality aspects of AI-based solutions in the field.

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Publication Details

Published
2026-07-27
DOI
https://doi.org/10.24406/publica-9526
Primary Topic
Systems Engineering Methodologies and Applications
Type
article
Field-Weighted Citation Impact
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article

AI-based interoperability in dynamic systems of systems

Rasmus Adler, Frank Elberzhager, Rodrigo Falcão, :unav
Systems Engineering Methodologies and Applications
article

AI-based interoperability in dynamic systems of systems

Rasmus Adler, Frank Elberzhager, Rodrigo Falcão, :unav
article en

Abstract

Dynamic systems of systems are characterized by their heterogeneity, openness, data-intensity, and AI-based autonomy. In such environments, achieving interoperability is an important challenge. In this chapter, we discuss how the recent developments in artificial intelligence-more specifically large language modelscan contribute new approaches to enabling dynamic systems of systems interoperate autonomously. We discuss interoperability strategies, make architectural considerations, and comment on quality aspects of AI-based solutions in the field.

Openalex Percentile: Top 11%
Systems Engineering Methodologies and Applications
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AI-based interoperability in dynamic systems of systems — Rasmus Adler, Frank Elberzhager, et al. · (2026) | TGRS Research Map | TGRS