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  4. AI-based interoperability in dynamic systems of systems
 
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July 27, 2026
Paper (Preprint, Research Paper, Review Paper, White Paper, etc.)
Title

AI-based interoperability in dynamic systems of systems

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.
Author(s)
Falcao, Rodrigo
Fraunhofer-Institut für Experimentelles Software Engineering IESE  
Elberzhager, Frank  
Fraunhofer-Institut für Experimentelles Software Engineering IESE  
Adler, Rasmus  
Fraunhofer-Institut für Experimentelles Software Engineering IESE  
Open Access
File(s)
Download (480.48 KB)
Rights
CC BY-NC 4.0: Creative Commons Attribution-NonCommercial
DOI
10.24406/publica-9526
Language
English
Fraunhofer-Institut für Experimentelles Software Engineering IESE  
Keyword(s)
  • autonomous interoperability

  • generative AI

  • LLM

  • systems of systems

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