AI SUPPORTED PYTHON PROGRAMMING IN ARCHITECTURAL FORM-FINDING PROCESSES

<p>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.</p> <p>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.</p> <p>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.</p> <p>The paper concludes by examining the evolving technological skillset required for contemporary architectural design in the AI era.</p>

Authors

Institutions

Publication Details

Published
2025-09-09
DOI
https://doi.org/10.62683/sinarg2025.198
Primary Topic
Architecture and Computational Design
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

AI SUPPORTED PYTHON PROGRAMMING IN ARCHITECTURAL FORM-FINDING PROCESSES

Mirjana Devetaković, Djordje Djordjević, Jelena Ivanović, Djordje Mitrović
Architecture and Computational Design
article

AI SUPPORTED PYTHON PROGRAMMING IN ARCHITECTURAL FORM-FINDING PROCESSES

Mirjana Devetaković, Djordje Djordjević, Jelena Ivanović, Djordje Mitrović
article en

Abstract

<p>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.</p> <p>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.</p> <p>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.</p> <p>The paper concludes by examining the evolving technological skillset required for contemporary architectural design in the AI era.</p>

University of Belgrade (RS)
Openalex Percentile: Top 74%
Architecture and Computational Design
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.