@inproceedings {pub5659,
	title = {Enhancing Holonic Architecture with Natural Language Processing for System of Systems},
	author = {Ahmed Sadik AND Muhammad Ashfaq AND Niko M{\"a}kitalo AND Tommi Mikkonen AND Muhammad Waseem},
	year = {2024},
	month = {July},
	abstract = {The complexity and dynamic nature of System of Systems (SoS) necessitate efficient communication mechanisms to ensure interoperability and collaborative functioning among constituent systems, termed holons. This paper proposes an innovative approach to enhance holon communication within SoS through the integration of Natural Language Processing (NLP) techniques. By leveraging the advances in NLP, such as Large Language Models (LLMs),  our approach aims to facilitate intuitive interaction between humans and holons, enable holons to interpret and act upon natural language instructions, and improve the coordination and collaboration among disparate systems. 
This position paper outlines a conceptual framework for NLP-enhanced holon interaction, discusses the potential impact on SoS adaptability, usability and efficiency, and sets the stage for future exploration and prototype implementation.},
	publisher = {Springer, LNCS, LNAI, LNBI},
	isbn = {9789897587061},
	booktitle = {19th International Conference on Software Technologies - ICSOFT 2024 }
}