DOI: 10.1017/pds.2026.10591 ISSN: 2732-527X

In search for working principles using large language models: an experimental study

Fabio Hanspach, Kilian Gericke, Ute Dietrich, Boris Eisenbart

ABSTRACT:

The use of artificial intelligence, especially large language models (LLMs), is increasingly explored to support early system development. This paper evaluates low-threshold LLM-based tools for supporting conceptual design. Through an experiment, two LLM-based tools were compared generating alternative solutions using an existing function model of an electro-mechanical system as input. Functions were provided in natural language and using the Functional Basis. Results show limitations and significant potentials for effective and efficient conceptual design support.

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