AI USEFULNESS IN SYSTEMS MODELLING AND SIMULATION: GPT-4 APPLICATION

1Citations
Citations of this article
14Readers
Mendeley users who have this article in their library.

Abstract

In this study, we investigate the potential of artificial intelligence (AI), specifically Generative Pre-trained Transformer 4 (GPT-4), to accelerate the development of system dynamics simulations within the broader context of systems engineering. The research aims to uncover the opportunities and limitations of leveraging AI to assist humans in constructing and refining system dynamics models. Through a systematic iterative process, GPT-4 was engaged in tasks such as creating, expanding, and stabilising simulations, identifying errors, generating expansion ideas, and converting models to Python code. Our findings reveal that GPT-4, while not flawless, can significantly enhance the modelling process, reduce human error, and expedite learning. This paper critically examines the role of AI in model development, emphasising the continued importance of human expertise in the evaluation and testing of simulations. Ultimately, we argue for a symbiotic relationship between AI and human modellers, harnessing the power of GPT-4 to augment human capabilities and advance the fields of system dynamics and systems engineering.

Cite

CITATION STYLE

APA

du Plooy, C., & Oosthuizen, R. (2023). AI USEFULNESS IN SYSTEMS MODELLING AND SIMULATION: GPT-4 APPLICATION. South African Journal of Industrial Engineering, 34(3), 286–303. https://doi.org/10.7166/34-3-2944

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free