Toward Automating System Dynamics Modeling: Evaluating Llms in the Transition From Narratives to Formal Structures
This paper investigates how large language models (LLMs) can support the transformation of narrative descriptions into system archetypes. We tested prompting strategies including zero-shot and guided reasoning approaches, to assess LLM's ability to identify key variables, causal relationships, and feedback structures.