Year: 2025
Type: conference-paper
Abstract: In recent years, artificial intelligence (AI) has become widely accessible, with powerful AI tools integrated into common ICT services and new AI-based applications emerging almost daily, often freely available. The Architecture, Engineering, Construction, and Operation (AECO) sector is no exception, as numerous studies highlight AI-enhanced applications supporting various aspects of the industry. While many focus on visualization, AI is also increasingly contributing to design and construction processes. This paper explores the process of architectural form generation using Rhino 3D, leveraging Python scripting for parametric geometric modeling. ChatGPT-3 was utilized to generate Python scripts compatible with the Rhino 3D Python Editor, benefiting from its ability to integrate mathematical concepts with programming logic and respond to textual programming prompts. Through this approach, a series of complex geometric forms was modeled, visually examined, and selectively 3D printed. Following an introduction to the relevant mathematical concepts and digital tools (ChatGPT, Python, and Rhino 3D), the paper details the methodology for guiding AI through parametric modeling. Since achieving the desired results is not always straightforward, specific strategies for controlled, purpose-driven interaction with ChatGPT are outlined. The study is illustrated with characteristic examples, and the generated architectural forms are analyzed, discussing the advantages and limitations of the approach. The paper concludes by examining the evolving technological skillset required for contemporary architectural design in the AI era.
Authors: Mirjana Devetaković, Jelena Ivanović, Djordje Djordjević, Djordje Mitrović
Institution: University of Belgrade
Language: English
Subfield: Architecture
Field: Engineering
Domain: Physical Sciences
SDG: Quality education
Open Access status: gold
OpenAlex ID: W4414155635